はじめに 機械学習のために理論を理解しておくのは十分必要なわけですが、やはり手を動かさないと何も進まなそう、ということで、自分でいろんなネットワークを実装してみる修行を始めようと思います。 そこで、まず初めにResNetから行こう、ということで、書かせていただきます。 前まで書いてた記事とはえらく楽した記事になっていて、読みにくいかもしれません。そこはごめんなさい。 論文 Deep Residual Learning for Image Recognition 1回目 とりあえず、ざっと書いてみます 初めに書いたコード from typing import Union import tensorflow as tf from tensorflow.keras.applications import ResNet50 as _ResNet50 from tensorflow.keras.layers import (Activation, Add, BatchNormalization, Conv2D, Input, MaxPooling2D, GlobalAveragePooling2D, Dense) from tensorflow.keras.models import Model class ResNet(): """ResNet Architecture""" __LAYER_LOOPS = { '18' : [2,2,2,2], '34' : [3,4,6,3], '50' : [3,4,6,3], '101' : [3,4,23,3], '152' : [3,8,36,3] } def __init__(self, input_ch:tuple, output_ch:int, layers:str): try: self._range = self.__LAYER_LOOPS[layers] except KeyError: raise ValueError('ResNet layers must be [18, 34, 50, 101, 152].') self.input_ch = input_ch self.output_ch = output_ch self.layers = layers self.index = 0 def conv_bn_act(self, x, filters:Union[int, tuple, list], kernel_size:Union[int, tuple, list], strides=(1,1)): """ Conv2D + BatchNormalization + Relu """ x = Conv2D(filters=filters, kernel_size=kernel_size, strides=strides)(x) x = BatchNormalization()(x) x = Activation('relu')(x) return x def conv_x(self, x, times): """conv2_x""" y = x for _ in range(self._range[self.index]): if self.layers == 18: x = self.conv_bn_act(x, 3, 64*(2**times)) x = self.conv_bn_act(x, 3, 64*(2**times)) elif self.layers == 34: x = self.conv_bn_act(x, 3, 64*(2**times)) x = self.conv_bn_act(x, 3, 64*(2**times)) else: x = self.conv_bn_act(x, 1, 64*(2**times)) x = self.conv_bn_act(x, 3, 64*(2**times)) x = self.conv_bn_act(x, 1, 256*(2**times)) x = Add()[y, x] x = Activation('relu')(x) self.index += 1 return x def build_resnet(self): input = Input(shape=self.input_ch) # 7x7 conv, 64, /2 x = self.conv_bn_act(input, filters=64, kernel_size=7, strides=(2,2)) # pool, /2 x = MaxPooling2D(pool_size=(3,3), strides=2)(x) # conv2_x x = self.conv_x(x, 0) # conv3_x x = self.conv_x(x, 1) # conv4_x x = self.conv_x(x, 2) # conv5_x x = self.conv_x(x, 3) # average pool, softmax x = GlobalAveragePooling2D()(x) x = Dense(units = self.output_ch, activation='softmax')(x) model = Model(inputs = input, outputs = x) return model resnet_50 = ResNet(input_ch = (512, 512, 3), output_ch=100, layers='50') model = resnet_50.build_resnet() model.summary() 結果 ValueError: Negative dimension size caused by subtracting 64 from 63 for '{{node conv2d_2/Conv2D}} = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], explicit_paddings=[], padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true](Placeholder, conv2d_2/Conv2D/ReadVariableOp)' with input shapes: [?,63,63,1], [64,64,1,3]. oof 2回目 50行目辺りが原因でした。ふつうに引数間違いです。 あと、layers.Addで重大ミス犯してました。リストは指定できないわな… 結果 ValueError: Operands could not be broadcast together with shapes (126, 126, 64) (120, 120, 256) oof… 3回目 解決ができたのでざっと書きます。 Addの場所が違ってたり、結合前の畳み込みのActivationはしないという所が辺でした。 shapeが違うということは、3x3の畳み込みでpadding='same'してない所が原因そうです(理由は「CNNと画像認識による構造の違いについて」の記事で説明しています)。また50層以上の場合、結合前の畳み込みでフィルターが4倍になっているので、畳んでない方(論文中の、いわゆる$\bf x$)についても同じフィルタサイズで畳み込みしておく必要がありそうです。 関数conv_xの初めのstrideを2にするのを忘れてました。stride=1だとずっとhとwのサイズが減りません… 結果 出力 __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 512, 512, 3) 0 __________________________________________________________________________________________________ conv2d (Conv2D) (None, 253, 253, 64) 9472 input_1[0][0] __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 253, 253, 64) 256 conv2d[0][0] __________________________________________________________________________________________________ activation (Activation) (None, 253, 253, 64) 0 batch_normalization[0][0] __________________________________________________________________________________________________ max_pooling2d (MaxPooling2D) (None, 126, 126, 64) 0 activation[0][0] __________________________________________________________________________________________________ conv2d_2 (Conv2D) (None, 63, 63, 64) 4160 max_pooling2d[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 63, 63, 64) 256 conv2d_2[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 63, 63, 64) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ conv2d_3 (Conv2D) (None, 63, 63, 64) 36928 activation_1[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 63, 63, 64) 256 conv2d_3[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 63, 63, 64) 0 batch_normalization_3[0][0] __________________________________________________________________________________________________ conv2d_1 (Conv2D) (None, 63, 63, 256) 16640 max_pooling2d[0][0] __________________________________________________________________________________________________ conv2d_4 (Conv2D) (None, 63, 63, 256) 16640 activation_2[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 63, 63, 256) 1024 conv2d_1[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 63, 63, 256) 1024 conv2d_4[0][0] __________________________________________________________________________________________________ add (Add) (None, 63, 63, 256) 0 batch_normalization_1[0][0] batch_normalization_4[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 63, 63, 256) 0 add[0][0] __________________________________________________________________________________________________ conv2d_6 (Conv2D) (None, 63, 63, 64) 16448 activation_3[0][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 63, 63, 64) 256 conv2d_6[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 63, 63, 64) 0 batch_normalization_6[0][0] __________________________________________________________________________________________________ conv2d_7 (Conv2D) (None, 63, 63, 64) 36928 activation_4[0][0] __________________________________________________________________________________________________ batch_normalization_7 (BatchNor (None, 63, 63, 64) 256 conv2d_7[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 63, 63, 64) 0 batch_normalization_7[0][0] __________________________________________________________________________________________________ conv2d_5 (Conv2D) (None, 63, 63, 256) 65792 activation_3[0][0] __________________________________________________________________________________________________ conv2d_8 (Conv2D) (None, 63, 63, 256) 16640 activation_5[0][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 63, 63, 256) 1024 conv2d_5[0][0] __________________________________________________________________________________________________ batch_normalization_8 (BatchNor (None, 63, 63, 256) 1024 conv2d_8[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 63, 63, 256) 0 batch_normalization_5[0][0] batch_normalization_8[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 63, 63, 256) 0 add_1[0][0] __________________________________________________________________________________________________ conv2d_10 (Conv2D) (None, 63, 63, 64) 16448 activation_6[0][0] __________________________________________________________________________________________________ batch_normalization_10 (BatchNo (None, 63, 63, 64) 256 conv2d_10[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 63, 63, 64) 0 batch_normalization_10[0][0] __________________________________________________________________________________________________ conv2d_11 (Conv2D) (None, 63, 63, 64) 36928 activation_7[0][0] __________________________________________________________________________________________________ batch_normalization_11 (BatchNo (None, 63, 63, 64) 256 conv2d_11[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 63, 63, 64) 0 batch_normalization_11[0][0] __________________________________________________________________________________________________ conv2d_9 (Conv2D) (None, 63, 63, 256) 65792 activation_6[0][0] __________________________________________________________________________________________________ conv2d_12 (Conv2D) (None, 63, 63, 256) 16640 activation_8[0][0] __________________________________________________________________________________________________ batch_normalization_9 (BatchNor (None, 63, 63, 256) 1024 conv2d_9[0][0] __________________________________________________________________________________________________ batch_normalization_12 (BatchNo (None, 63, 63, 256) 1024 conv2d_12[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 63, 63, 256) 0 batch_normalization_9[0][0] batch_normalization_12[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 63, 63, 256) 0 add_2[0][0] __________________________________________________________________________________________________ conv2d_14 (Conv2D) (None, 32, 32, 128) 32896 activation_9[0][0] __________________________________________________________________________________________________ batch_normalization_14 (BatchNo (None, 32, 32, 128) 512 conv2d_14[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 32, 32, 128) 0 batch_normalization_14[0][0] __________________________________________________________________________________________________ conv2d_15 (Conv2D) (None, 32, 32, 128) 147584 activation_10[0][0] __________________________________________________________________________________________________ batch_normalization_15 (BatchNo (None, 32, 32, 128) 512 conv2d_15[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 32, 32, 128) 0 batch_normalization_15[0][0] __________________________________________________________________________________________________ conv2d_13 (Conv2D) (None, 32, 32, 512) 131584 activation_9[0][0] __________________________________________________________________________________________________ conv2d_16 (Conv2D) (None, 32, 32, 512) 66048 activation_11[0][0] __________________________________________________________________________________________________ batch_normalization_13 (BatchNo (None, 32, 32, 512) 2048 conv2d_13[0][0] __________________________________________________________________________________________________ batch_normalization_16 (BatchNo (None, 32, 32, 512) 2048 conv2d_16[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 32, 32, 512) 0 batch_normalization_13[0][0] batch_normalization_16[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 32, 32, 512) 0 add_3[0][0] __________________________________________________________________________________________________ conv2d_18 (Conv2D) (None, 32, 32, 128) 65664 activation_12[0][0] __________________________________________________________________________________________________ batch_normalization_18 (BatchNo (None, 32, 32, 128) 512 conv2d_18[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 32, 32, 128) 0 batch_normalization_18[0][0] __________________________________________________________________________________________________ conv2d_19 (Conv2D) (None, 32, 32, 128) 147584 activation_13[0][0] __________________________________________________________________________________________________ batch_normalization_19 (BatchNo (None, 32, 32, 128) 512 conv2d_19[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 32, 32, 128) 0 batch_normalization_19[0][0] __________________________________________________________________________________________________ conv2d_17 (Conv2D) (None, 32, 32, 512) 262656 activation_12[0][0] __________________________________________________________________________________________________ conv2d_20 (Conv2D) (None, 32, 32, 512) 66048 activation_14[0][0] __________________________________________________________________________________________________ batch_normalization_17 (BatchNo (None, 32, 32, 512) 2048 conv2d_17[0][0] __________________________________________________________________________________________________ batch_normalization_20 (BatchNo (None, 32, 32, 512) 2048 conv2d_20[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 32, 32, 512) 0 batch_normalization_17[0][0] batch_normalization_20[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 32, 32, 512) 0 add_4[0][0] __________________________________________________________________________________________________ conv2d_22 (Conv2D) (None, 32, 32, 128) 65664 activation_15[0][0] __________________________________________________________________________________________________ batch_normalization_22 (BatchNo (None, 32, 32, 128) 512 conv2d_22[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 32, 32, 128) 0 batch_normalization_22[0][0] __________________________________________________________________________________________________ conv2d_23 (Conv2D) (None, 32, 32, 128) 147584 activation_16[0][0] __________________________________________________________________________________________________ batch_normalization_23 (BatchNo (None, 32, 32, 128) 512 conv2d_23[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 32, 32, 128) 0 batch_normalization_23[0][0] __________________________________________________________________________________________________ conv2d_21 (Conv2D) (None, 32, 32, 512) 262656 activation_15[0][0] __________________________________________________________________________________________________ conv2d_24 (Conv2D) (None, 32, 32, 512) 66048 activation_17[0][0] __________________________________________________________________________________________________ batch_normalization_21 (BatchNo (None, 32, 32, 512) 2048 conv2d_21[0][0] __________________________________________________________________________________________________ batch_normalization_24 (BatchNo (None, 32, 32, 512) 2048 conv2d_24[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 32, 32, 512) 0 batch_normalization_21[0][0] batch_normalization_24[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 32, 32, 512) 0 add_5[0][0] __________________________________________________________________________________________________ conv2d_26 (Conv2D) (None, 32, 32, 128) 65664 activation_18[0][0] __________________________________________________________________________________________________ batch_normalization_26 (BatchNo (None, 32, 32, 128) 512 conv2d_26[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 32, 32, 128) 0 batch_normalization_26[0][0] __________________________________________________________________________________________________ conv2d_27 (Conv2D) (None, 32, 32, 128) 147584 activation_19[0][0] __________________________________________________________________________________________________ batch_normalization_27 (BatchNo (None, 32, 32, 128) 512 conv2d_27[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 32, 32, 128) 0 batch_normalization_27[0][0] __________________________________________________________________________________________________ conv2d_25 (Conv2D) (None, 32, 32, 512) 262656 activation_18[0][0] __________________________________________________________________________________________________ conv2d_28 (Conv2D) (None, 32, 32, 512) 66048 activation_20[0][0] __________________________________________________________________________________________________ batch_normalization_25 (BatchNo (None, 32, 32, 512) 2048 conv2d_25[0][0] __________________________________________________________________________________________________ batch_normalization_28 (BatchNo (None, 32, 32, 512) 2048 conv2d_28[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 32, 32, 512) 0 batch_normalization_25[0][0] batch_normalization_28[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 32, 32, 512) 0 add_6[0][0] __________________________________________________________________________________________________ conv2d_30 (Conv2D) (None, 16, 16, 256) 131328 activation_21[0][0] __________________________________________________________________________________________________ batch_normalization_30 (BatchNo (None, 16, 16, 256) 1024 conv2d_30[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 16, 16, 256) 0 batch_normalization_30[0][0] __________________________________________________________________________________________________ conv2d_31 (Conv2D) (None, 16, 16, 256) 590080 activation_22[0][0] __________________________________________________________________________________________________ batch_normalization_31 (BatchNo (None, 16, 16, 256) 1024 conv2d_31[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 16, 16, 256) 0 batch_normalization_31[0][0] __________________________________________________________________________________________________ conv2d_29 (Conv2D) (None, 16, 16, 1024) 525312 activation_21[0][0] __________________________________________________________________________________________________ conv2d_32 (Conv2D) (None, 16, 16, 1024) 263168 activation_23[0][0] __________________________________________________________________________________________________ batch_normalization_29 (BatchNo (None, 16, 16, 1024) 4096 conv2d_29[0][0] __________________________________________________________________________________________________ batch_normalization_32 (BatchNo (None, 16, 16, 1024) 4096 conv2d_32[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 16, 16, 1024) 0 batch_normalization_29[0][0] batch_normalization_32[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 16, 16, 1024) 0 add_7[0][0] __________________________________________________________________________________________________ conv2d_34 (Conv2D) (None, 16, 16, 256) 262400 activation_24[0][0] __________________________________________________________________________________________________ batch_normalization_34 (BatchNo (None, 16, 16, 256) 1024 conv2d_34[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 16, 16, 256) 0 batch_normalization_34[0][0] __________________________________________________________________________________________________ conv2d_35 (Conv2D) (None, 16, 16, 256) 590080 activation_25[0][0] __________________________________________________________________________________________________ batch_normalization_35 (BatchNo (None, 16, 16, 256) 1024 conv2d_35[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 16, 16, 256) 0 batch_normalization_35[0][0] __________________________________________________________________________________________________ conv2d_33 (Conv2D) (None, 16, 16, 1024) 1049600 activation_24[0][0] __________________________________________________________________________________________________ conv2d_36 (Conv2D) (None, 16, 16, 1024) 263168 activation_26[0][0] __________________________________________________________________________________________________ batch_normalization_33 (BatchNo (None, 16, 16, 1024) 4096 conv2d_33[0][0] __________________________________________________________________________________________________ batch_normalization_36 (BatchNo (None, 16, 16, 1024) 4096 conv2d_36[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 16, 16, 1024) 0 batch_normalization_33[0][0] batch_normalization_36[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 16, 16, 1024) 0 add_8[0][0] __________________________________________________________________________________________________ conv2d_38 (Conv2D) (None, 16, 16, 256) 262400 activation_27[0][0] __________________________________________________________________________________________________ batch_normalization_38 (BatchNo (None, 16, 16, 256) 1024 conv2d_38[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 16, 16, 256) 0 batch_normalization_38[0][0] __________________________________________________________________________________________________ conv2d_39 (Conv2D) (None, 16, 16, 256) 590080 activation_28[0][0] __________________________________________________________________________________________________ batch_normalization_39 (BatchNo (None, 16, 16, 256) 1024 conv2d_39[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 16, 16, 256) 0 batch_normalization_39[0][0] __________________________________________________________________________________________________ conv2d_37 (Conv2D) (None, 16, 16, 1024) 1049600 activation_27[0][0] __________________________________________________________________________________________________ conv2d_40 (Conv2D) (None, 16, 16, 1024) 263168 activation_29[0][0] __________________________________________________________________________________________________ batch_normalization_37 (BatchNo (None, 16, 16, 1024) 4096 conv2d_37[0][0] __________________________________________________________________________________________________ batch_normalization_40 (BatchNo (None, 16, 16, 1024) 4096 conv2d_40[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 16, 16, 1024) 0 batch_normalization_37[0][0] batch_normalization_40[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 16, 16, 1024) 0 add_9[0][0] __________________________________________________________________________________________________ conv2d_42 (Conv2D) (None, 16, 16, 256) 262400 activation_30[0][0] __________________________________________________________________________________________________ batch_normalization_42 (BatchNo (None, 16, 16, 256) 1024 conv2d_42[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 16, 16, 256) 0 batch_normalization_42[0][0] __________________________________________________________________________________________________ conv2d_43 (Conv2D) (None, 16, 16, 256) 590080 activation_31[0][0] __________________________________________________________________________________________________ batch_normalization_43 (BatchNo (None, 16, 16, 256) 1024 conv2d_43[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 16, 16, 256) 0 batch_normalization_43[0][0] __________________________________________________________________________________________________ conv2d_41 (Conv2D) (None, 16, 16, 1024) 1049600 activation_30[0][0] __________________________________________________________________________________________________ conv2d_44 (Conv2D) (None, 16, 16, 1024) 263168 activation_32[0][0] __________________________________________________________________________________________________ batch_normalization_41 (BatchNo (None, 16, 16, 1024) 4096 conv2d_41[0][0] __________________________________________________________________________________________________ batch_normalization_44 (BatchNo (None, 16, 16, 1024) 4096 conv2d_44[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 16, 16, 1024) 0 batch_normalization_41[0][0] batch_normalization_44[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 16, 16, 1024) 0 add_10[0][0] __________________________________________________________________________________________________ conv2d_46 (Conv2D) (None, 16, 16, 256) 262400 activation_33[0][0] __________________________________________________________________________________________________ batch_normalization_46 (BatchNo (None, 16, 16, 256) 1024 conv2d_46[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 16, 16, 256) 0 batch_normalization_46[0][0] __________________________________________________________________________________________________ conv2d_47 (Conv2D) (None, 16, 16, 256) 590080 activation_34[0][0] __________________________________________________________________________________________________ batch_normalization_47 (BatchNo (None, 16, 16, 256) 1024 conv2d_47[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 16, 16, 256) 0 batch_normalization_47[0][0] __________________________________________________________________________________________________ conv2d_45 (Conv2D) (None, 16, 16, 1024) 1049600 activation_33[0][0] __________________________________________________________________________________________________ conv2d_48 (Conv2D) (None, 16, 16, 1024) 263168 activation_35[0][0] __________________________________________________________________________________________________ batch_normalization_45 (BatchNo (None, 16, 16, 1024) 4096 conv2d_45[0][0] __________________________________________________________________________________________________ batch_normalization_48 (BatchNo (None, 16, 16, 1024) 4096 conv2d_48[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 16, 16, 1024) 0 batch_normalization_45[0][0] batch_normalization_48[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 16, 16, 1024) 0 add_11[0][0] __________________________________________________________________________________________________ conv2d_50 (Conv2D) (None, 16, 16, 256) 262400 activation_36[0][0] __________________________________________________________________________________________________ batch_normalization_50 (BatchNo (None, 16, 16, 256) 1024 conv2d_50[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 16, 16, 256) 0 batch_normalization_50[0][0] __________________________________________________________________________________________________ conv2d_51 (Conv2D) (None, 16, 16, 256) 590080 activation_37[0][0] __________________________________________________________________________________________________ batch_normalization_51 (BatchNo (None, 16, 16, 256) 1024 conv2d_51[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 16, 16, 256) 0 batch_normalization_51[0][0] __________________________________________________________________________________________________ conv2d_49 (Conv2D) (None, 16, 16, 1024) 1049600 activation_36[0][0] __________________________________________________________________________________________________ conv2d_52 (Conv2D) (None, 16, 16, 1024) 263168 activation_38[0][0] __________________________________________________________________________________________________ batch_normalization_49 (BatchNo (None, 16, 16, 1024) 4096 conv2d_49[0][0] __________________________________________________________________________________________________ batch_normalization_52 (BatchNo (None, 16, 16, 1024) 4096 conv2d_52[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 16, 16, 1024) 0 batch_normalization_49[0][0] batch_normalization_52[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 16, 16, 1024) 0 add_12[0][0] __________________________________________________________________________________________________ conv2d_54 (Conv2D) (None, 8, 8, 512) 524800 activation_39[0][0] __________________________________________________________________________________________________ batch_normalization_54 (BatchNo (None, 8, 8, 512) 2048 conv2d_54[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 8, 8, 512) 0 batch_normalization_54[0][0] __________________________________________________________________________________________________ conv2d_55 (Conv2D) (None, 8, 8, 512) 2359808 activation_40[0][0] __________________________________________________________________________________________________ batch_normalization_55 (BatchNo (None, 8, 8, 512) 2048 conv2d_55[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 8, 8, 512) 0 batch_normalization_55[0][0] __________________________________________________________________________________________________ conv2d_53 (Conv2D) (None, 8, 8, 2048) 2099200 activation_39[0][0] __________________________________________________________________________________________________ conv2d_56 (Conv2D) (None, 8, 8, 2048) 1050624 activation_41[0][0] __________________________________________________________________________________________________ batch_normalization_53 (BatchNo (None, 8, 8, 2048) 8192 conv2d_53[0][0] __________________________________________________________________________________________________ batch_normalization_56 (BatchNo (None, 8, 8, 2048) 8192 conv2d_56[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 8, 8, 2048) 0 batch_normalization_53[0][0] batch_normalization_56[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 8, 8, 2048) 0 add_13[0][0] __________________________________________________________________________________________________ conv2d_58 (Conv2D) (None, 8, 8, 512) 1049088 activation_42[0][0] __________________________________________________________________________________________________ batch_normalization_58 (BatchNo (None, 8, 8, 512) 2048 conv2d_58[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 8, 8, 512) 0 batch_normalization_58[0][0] __________________________________________________________________________________________________ conv2d_59 (Conv2D) (None, 8, 8, 512) 2359808 activation_43[0][0] __________________________________________________________________________________________________ batch_normalization_59 (BatchNo (None, 8, 8, 512) 2048 conv2d_59[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 8, 8, 512) 0 batch_normalization_59[0][0] __________________________________________________________________________________________________ conv2d_57 (Conv2D) (None, 8, 8, 2048) 4196352 activation_42[0][0] __________________________________________________________________________________________________ conv2d_60 (Conv2D) (None, 8, 8, 2048) 1050624 activation_44[0][0] __________________________________________________________________________________________________ batch_normalization_57 (BatchNo (None, 8, 8, 2048) 8192 conv2d_57[0][0] __________________________________________________________________________________________________ batch_normalization_60 (BatchNo (None, 8, 8, 2048) 8192 conv2d_60[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 8, 8, 2048) 0 batch_normalization_57[0][0] batch_normalization_60[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 8, 8, 2048) 0 add_14[0][0] __________________________________________________________________________________________________ conv2d_62 (Conv2D) (None, 8, 8, 512) 1049088 activation_45[0][0] __________________________________________________________________________________________________ batch_normalization_62 (BatchNo (None, 8, 8, 512) 2048 conv2d_62[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 8, 8, 512) 0 batch_normalization_62[0][0] __________________________________________________________________________________________________ conv2d_63 (Conv2D) (None, 8, 8, 512) 2359808 activation_46[0][0] __________________________________________________________________________________________________ batch_normalization_63 (BatchNo (None, 8, 8, 512) 2048 conv2d_63[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 8, 8, 512) 0 batch_normalization_63[0][0] __________________________________________________________________________________________________ conv2d_61 (Conv2D) (None, 8, 8, 2048) 4196352 activation_45[0][0] __________________________________________________________________________________________________ conv2d_64 (Conv2D) (None, 8, 8, 2048) 1050624 activation_47[0][0] __________________________________________________________________________________________________ batch_normalization_61 (BatchNo (None, 8, 8, 2048) 8192 conv2d_61[0][0] __________________________________________________________________________________________________ batch_normalization_64 (BatchNo (None, 8, 8, 2048) 8192 conv2d_64[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 8, 8, 2048) 0 batch_normalization_61[0][0] batch_normalization_64[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 8, 8, 2048) 0 add_15[0][0] __________________________________________________________________________________________________ global_average_pooling2d (Globa (None, 2048) 0 activation_48[0][0] __________________________________________________________________________________________________ dense (Dense) (None, 100) 204900 global_average_pooling2d[0][0] ================================================================================================== Total params: 38,397,924 Trainable params: 38,322,276 Non-trainable params: 75,648 __________________________________________________________________________________________________ サマリー出してくれました。うれしい ただ答え合わせしてみたところ、Gobalaveratepoolingする前のhとwが1まわり小さくなっているのが気になります。またはじめのところも253x253になってたりと、もう少し直す必要がありそうです。 4回目 はじめの253になっている部分については、畳み込んだら256になってもらいたいのではZeroPadding2Dで対処します。 hとwが1周り小さくなっているのははじめのMaxPoolingしたときにstrideを2にしてしまっているのが原因っぽそうです。 結果 出力 Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 224, 224, 3) 0 __________________________________________________________________________________________________ zero_padding2d (ZeroPadding2D) (None, 230, 230, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv2d (Conv2D) (None, 112, 112, 64) 9472 zero_padding2d[0][0] __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 112, 112, 64) 256 conv2d[0][0] __________________________________________________________________________________________________ activation (Activation) (None, 112, 112, 64) 0 batch_normalization[0][0] __________________________________________________________________________________________________ max_pooling2d (MaxPooling2D) (None, 55, 55, 64) 0 activation[0][0] __________________________________________________________________________________________________ conv2d_2 (Conv2D) (None, 55, 55, 64) 4160 max_pooling2d[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 55, 55, 64) 256 conv2d_2[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 55, 55, 64) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ conv2d_3 (Conv2D) (None, 55, 55, 64) 36928 activation_1[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 55, 55, 64) 256 conv2d_3[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 55, 55, 64) 0 batch_normalization_3[0][0] __________________________________________________________________________________________________ conv2d_1 (Conv2D) (None, 55, 55, 256) 16640 max_pooling2d[0][0] __________________________________________________________________________________________________ conv2d_4 (Conv2D) (None, 55, 55, 256) 16640 activation_2[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 55, 55, 256) 1024 conv2d_1[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 55, 55, 256) 1024 conv2d_4[0][0] __________________________________________________________________________________________________ add (Add) (None, 55, 55, 256) 0 batch_normalization_1[0][0] batch_normalization_4[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 55, 55, 256) 0 add[0][0] __________________________________________________________________________________________________ conv2d_6 (Conv2D) (None, 55, 55, 64) 16448 activation_3[0][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 55, 55, 64) 256 conv2d_6[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 55, 55, 64) 0 batch_normalization_6[0][0] __________________________________________________________________________________________________ conv2d_7 (Conv2D) (None, 55, 55, 64) 36928 activation_4[0][0] __________________________________________________________________________________________________ batch_normalization_7 (BatchNor (None, 55, 55, 64) 256 conv2d_7[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 55, 55, 64) 0 batch_normalization_7[0][0] __________________________________________________________________________________________________ conv2d_5 (Conv2D) (None, 55, 55, 256) 65792 activation_3[0][0] __________________________________________________________________________________________________ conv2d_8 (Conv2D) (None, 55, 55, 256) 16640 activation_5[0][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 55, 55, 256) 1024 conv2d_5[0][0] __________________________________________________________________________________________________ batch_normalization_8 (BatchNor (None, 55, 55, 256) 1024 conv2d_8[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 55, 55, 256) 0 batch_normalization_5[0][0] batch_normalization_8[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 55, 55, 256) 0 add_1[0][0] __________________________________________________________________________________________________ conv2d_10 (Conv2D) (None, 55, 55, 64) 16448 activation_6[0][0] __________________________________________________________________________________________________ batch_normalization_10 (BatchNo (None, 55, 55, 64) 256 conv2d_10[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 55, 55, 64) 0 batch_normalization_10[0][0] __________________________________________________________________________________________________ conv2d_11 (Conv2D) (None, 55, 55, 64) 36928 activation_7[0][0] __________________________________________________________________________________________________ batch_normalization_11 (BatchNo (None, 55, 55, 64) 256 conv2d_11[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 55, 55, 64) 0 batch_normalization_11[0][0] __________________________________________________________________________________________________ conv2d_9 (Conv2D) (None, 55, 55, 256) 65792 activation_6[0][0] __________________________________________________________________________________________________ conv2d_12 (Conv2D) (None, 55, 55, 256) 16640 activation_8[0][0] __________________________________________________________________________________________________ batch_normalization_9 (BatchNor (None, 55, 55, 256) 1024 conv2d_9[0][0] __________________________________________________________________________________________________ batch_normalization_12 (BatchNo (None, 55, 55, 256) 1024 conv2d_12[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 55, 55, 256) 0 batch_normalization_9[0][0] batch_normalization_12[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 55, 55, 256) 0 add_2[0][0] __________________________________________________________________________________________________ conv2d_14 (Conv2D) (None, 28, 28, 128) 32896 activation_9[0][0] __________________________________________________________________________________________________ batch_normalization_14 (BatchNo (None, 28, 28, 128) 512 conv2d_14[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 28, 28, 128) 0 batch_normalization_14[0][0] __________________________________________________________________________________________________ conv2d_15 (Conv2D) (None, 28, 28, 128) 147584 activation_10[0][0] __________________________________________________________________________________________________ batch_normalization_15 (BatchNo (None, 28, 28, 128) 512 conv2d_15[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 28, 28, 128) 0 batch_normalization_15[0][0] __________________________________________________________________________________________________ conv2d_13 (Conv2D) (None, 28, 28, 512) 131584 activation_9[0][0] __________________________________________________________________________________________________ conv2d_16 (Conv2D) (None, 28, 28, 512) 66048 activation_11[0][0] __________________________________________________________________________________________________ batch_normalization_13 (BatchNo (None, 28, 28, 512) 2048 conv2d_13[0][0] __________________________________________________________________________________________________ batch_normalization_16 (BatchNo (None, 28, 28, 512) 2048 conv2d_16[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 28, 28, 512) 0 batch_normalization_13[0][0] batch_normalization_16[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 28, 28, 512) 0 add_3[0][0] __________________________________________________________________________________________________ conv2d_18 (Conv2D) (None, 28, 28, 128) 65664 activation_12[0][0] __________________________________________________________________________________________________ batch_normalization_18 (BatchNo (None, 28, 28, 128) 512 conv2d_18[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 28, 28, 128) 0 batch_normalization_18[0][0] __________________________________________________________________________________________________ conv2d_19 (Conv2D) (None, 28, 28, 128) 147584 activation_13[0][0] __________________________________________________________________________________________________ batch_normalization_19 (BatchNo (None, 28, 28, 128) 512 conv2d_19[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 28, 28, 128) 0 batch_normalization_19[0][0] __________________________________________________________________________________________________ conv2d_17 (Conv2D) (None, 28, 28, 512) 262656 activation_12[0][0] __________________________________________________________________________________________________ conv2d_20 (Conv2D) (None, 28, 28, 512) 66048 activation_14[0][0] __________________________________________________________________________________________________ batch_normalization_17 (BatchNo (None, 28, 28, 512) 2048 conv2d_17[0][0] __________________________________________________________________________________________________ batch_normalization_20 (BatchNo (None, 28, 28, 512) 2048 conv2d_20[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 28, 28, 512) 0 batch_normalization_17[0][0] batch_normalization_20[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 28, 28, 512) 0 add_4[0][0] __________________________________________________________________________________________________ conv2d_22 (Conv2D) (None, 28, 28, 128) 65664 activation_15[0][0] __________________________________________________________________________________________________ batch_normalization_22 (BatchNo (None, 28, 28, 128) 512 conv2d_22[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 28, 28, 128) 0 batch_normalization_22[0][0] __________________________________________________________________________________________________ conv2d_23 (Conv2D) (None, 28, 28, 128) 147584 activation_16[0][0] __________________________________________________________________________________________________ batch_normalization_23 (BatchNo (None, 28, 28, 128) 512 conv2d_23[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 28, 28, 128) 0 batch_normalization_23[0][0] __________________________________________________________________________________________________ conv2d_21 (Conv2D) (None, 28, 28, 512) 262656 activation_15[0][0] __________________________________________________________________________________________________ conv2d_24 (Conv2D) (None, 28, 28, 512) 66048 activation_17[0][0] __________________________________________________________________________________________________ batch_normalization_21 (BatchNo (None, 28, 28, 512) 2048 conv2d_21[0][0] __________________________________________________________________________________________________ batch_normalization_24 (BatchNo (None, 28, 28, 512) 2048 conv2d_24[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 28, 28, 512) 0 batch_normalization_21[0][0] batch_normalization_24[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 28, 28, 512) 0 add_5[0][0] __________________________________________________________________________________________________ conv2d_26 (Conv2D) (None, 28, 28, 128) 65664 activation_18[0][0] __________________________________________________________________________________________________ batch_normalization_26 (BatchNo (None, 28, 28, 128) 512 conv2d_26[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 28, 28, 128) 0 batch_normalization_26[0][0] __________________________________________________________________________________________________ conv2d_27 (Conv2D) (None, 28, 28, 128) 147584 activation_19[0][0] __________________________________________________________________________________________________ batch_normalization_27 (BatchNo (None, 28, 28, 128) 512 conv2d_27[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 28, 28, 128) 0 batch_normalization_27[0][0] __________________________________________________________________________________________________ conv2d_25 (Conv2D) (None, 28, 28, 512) 262656 activation_18[0][0] __________________________________________________________________________________________________ conv2d_28 (Conv2D) (None, 28, 28, 512) 66048 activation_20[0][0] __________________________________________________________________________________________________ batch_normalization_25 (BatchNo (None, 28, 28, 512) 2048 conv2d_25[0][0] __________________________________________________________________________________________________ batch_normalization_28 (BatchNo (None, 28, 28, 512) 2048 conv2d_28[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 28, 28, 512) 0 batch_normalization_25[0][0] batch_normalization_28[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 28, 28, 512) 0 add_6[0][0] __________________________________________________________________________________________________ conv2d_30 (Conv2D) (None, 14, 14, 256) 131328 activation_21[0][0] __________________________________________________________________________________________________ batch_normalization_30 (BatchNo (None, 14, 14, 256) 1024 conv2d_30[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 14, 14, 256) 0 batch_normalization_30[0][0] __________________________________________________________________________________________________ conv2d_31 (Conv2D) (None, 14, 14, 256) 590080 activation_22[0][0] __________________________________________________________________________________________________ batch_normalization_31 (BatchNo (None, 14, 14, 256) 1024 conv2d_31[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 14, 14, 256) 0 batch_normalization_31[0][0] __________________________________________________________________________________________________ conv2d_29 (Conv2D) (None, 14, 14, 1024) 525312 activation_21[0][0] __________________________________________________________________________________________________ conv2d_32 (Conv2D) (None, 14, 14, 1024) 263168 activation_23[0][0] __________________________________________________________________________________________________ batch_normalization_29 (BatchNo (None, 14, 14, 1024) 4096 conv2d_29[0][0] __________________________________________________________________________________________________ batch_normalization_32 (BatchNo (None, 14, 14, 1024) 4096 conv2d_32[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 14, 14, 1024) 0 batch_normalization_29[0][0] batch_normalization_32[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 14, 14, 1024) 0 add_7[0][0] __________________________________________________________________________________________________ conv2d_34 (Conv2D) (None, 14, 14, 256) 262400 activation_24[0][0] __________________________________________________________________________________________________ batch_normalization_34 (BatchNo (None, 14, 14, 256) 1024 conv2d_34[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 14, 14, 256) 0 batch_normalization_34[0][0] __________________________________________________________________________________________________ conv2d_35 (Conv2D) (None, 14, 14, 256) 590080 activation_25[0][0] __________________________________________________________________________________________________ batch_normalization_35 (BatchNo (None, 14, 14, 256) 1024 conv2d_35[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 14, 14, 256) 0 batch_normalization_35[0][0] __________________________________________________________________________________________________ conv2d_33 (Conv2D) (None, 14, 14, 1024) 1049600 activation_24[0][0] __________________________________________________________________________________________________ conv2d_36 (Conv2D) (None, 14, 14, 1024) 263168 activation_26[0][0] __________________________________________________________________________________________________ batch_normalization_33 (BatchNo (None, 14, 14, 1024) 4096 conv2d_33[0][0] __________________________________________________________________________________________________ batch_normalization_36 (BatchNo (None, 14, 14, 1024) 4096 conv2d_36[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 14, 14, 1024) 0 batch_normalization_33[0][0] batch_normalization_36[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 14, 14, 1024) 0 add_8[0][0] __________________________________________________________________________________________________ conv2d_38 (Conv2D) (None, 14, 14, 256) 262400 activation_27[0][0] __________________________________________________________________________________________________ batch_normalization_38 (BatchNo (None, 14, 14, 256) 1024 conv2d_38[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 14, 14, 256) 0 batch_normalization_38[0][0] __________________________________________________________________________________________________ conv2d_39 (Conv2D) (None, 14, 14, 256) 590080 activation_28[0][0] __________________________________________________________________________________________________ batch_normalization_39 (BatchNo (None, 14, 14, 256) 1024 conv2d_39[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 14, 14, 256) 0 batch_normalization_39[0][0] __________________________________________________________________________________________________ conv2d_37 (Conv2D) (None, 14, 14, 1024) 1049600 activation_27[0][0] __________________________________________________________________________________________________ conv2d_40 (Conv2D) (None, 14, 14, 1024) 263168 activation_29[0][0] __________________________________________________________________________________________________ batch_normalization_37 (BatchNo (None, 14, 14, 1024) 4096 conv2d_37[0][0] __________________________________________________________________________________________________ batch_normalization_40 (BatchNo (None, 14, 14, 1024) 4096 conv2d_40[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 14, 14, 1024) 0 batch_normalization_37[0][0] batch_normalization_40[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 14, 14, 1024) 0 add_9[0][0] __________________________________________________________________________________________________ conv2d_42 (Conv2D) (None, 14, 14, 256) 262400 activation_30[0][0] __________________________________________________________________________________________________ batch_normalization_42 (BatchNo (None, 14, 14, 256) 1024 conv2d_42[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 14, 14, 256) 0 batch_normalization_42[0][0] __________________________________________________________________________________________________ conv2d_43 (Conv2D) (None, 14, 14, 256) 590080 activation_31[0][0] __________________________________________________________________________________________________ batch_normalization_43 (BatchNo (None, 14, 14, 256) 1024 conv2d_43[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 14, 14, 256) 0 batch_normalization_43[0][0] __________________________________________________________________________________________________ conv2d_41 (Conv2D) (None, 14, 14, 1024) 1049600 activation_30[0][0] __________________________________________________________________________________________________ conv2d_44 (Conv2D) (None, 14, 14, 1024) 263168 activation_32[0][0] __________________________________________________________________________________________________ batch_normalization_41 (BatchNo (None, 14, 14, 1024) 4096 conv2d_41[0][0] __________________________________________________________________________________________________ batch_normalization_44 (BatchNo (None, 14, 14, 1024) 4096 conv2d_44[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 14, 14, 1024) 0 batch_normalization_41[0][0] batch_normalization_44[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 14, 14, 1024) 0 add_10[0][0] __________________________________________________________________________________________________ conv2d_46 (Conv2D) (None, 14, 14, 256) 262400 activation_33[0][0] __________________________________________________________________________________________________ batch_normalization_46 (BatchNo (None, 14, 14, 256) 1024 conv2d_46[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 14, 14, 256) 0 batch_normalization_46[0][0] __________________________________________________________________________________________________ conv2d_47 (Conv2D) (None, 14, 14, 256) 590080 activation_34[0][0] __________________________________________________________________________________________________ batch_normalization_47 (BatchNo (None, 14, 14, 256) 1024 conv2d_47[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 14, 14, 256) 0 batch_normalization_47[0][0] __________________________________________________________________________________________________ conv2d_45 (Conv2D) (None, 14, 14, 1024) 1049600 activation_33[0][0] __________________________________________________________________________________________________ conv2d_48 (Conv2D) (None, 14, 14, 1024) 263168 activation_35[0][0] __________________________________________________________________________________________________ batch_normalization_45 (BatchNo (None, 14, 14, 1024) 4096 conv2d_45[0][0] __________________________________________________________________________________________________ batch_normalization_48 (BatchNo (None, 14, 14, 1024) 4096 conv2d_48[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 14, 14, 1024) 0 batch_normalization_45[0][0] batch_normalization_48[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 14, 14, 1024) 0 add_11[0][0] __________________________________________________________________________________________________ conv2d_50 (Conv2D) (None, 14, 14, 256) 262400 activation_36[0][0] __________________________________________________________________________________________________ batch_normalization_50 (BatchNo (None, 14, 14, 256) 1024 conv2d_50[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 14, 14, 256) 0 batch_normalization_50[0][0] __________________________________________________________________________________________________ conv2d_51 (Conv2D) (None, 14, 14, 256) 590080 activation_37[0][0] __________________________________________________________________________________________________ batch_normalization_51 (BatchNo (None, 14, 14, 256) 1024 conv2d_51[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 14, 14, 256) 0 batch_normalization_51[0][0] __________________________________________________________________________________________________ conv2d_49 (Conv2D) (None, 14, 14, 1024) 1049600 activation_36[0][0] __________________________________________________________________________________________________ conv2d_52 (Conv2D) (None, 14, 14, 1024) 263168 activation_38[0][0] __________________________________________________________________________________________________ batch_normalization_49 (BatchNo (None, 14, 14, 1024) 4096 conv2d_49[0][0] __________________________________________________________________________________________________ batch_normalization_52 (BatchNo (None, 14, 14, 1024) 4096 conv2d_52[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 14, 14, 1024) 0 batch_normalization_49[0][0] batch_normalization_52[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 14, 14, 1024) 0 add_12[0][0] __________________________________________________________________________________________________ conv2d_54 (Conv2D) (None, 7, 7, 512) 524800 activation_39[0][0] __________________________________________________________________________________________________ batch_normalization_54 (BatchNo (None, 7, 7, 512) 2048 conv2d_54[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 7, 7, 512) 0 batch_normalization_54[0][0] __________________________________________________________________________________________________ conv2d_55 (Conv2D) (None, 7, 7, 512) 2359808 activation_40[0][0] __________________________________________________________________________________________________ batch_normalization_55 (BatchNo (None, 7, 7, 512) 2048 conv2d_55[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 7, 7, 512) 0 batch_normalization_55[0][0] __________________________________________________________________________________________________ conv2d_53 (Conv2D) (None, 7, 7, 2048) 2099200 activation_39[0][0] __________________________________________________________________________________________________ conv2d_56 (Conv2D) (None, 7, 7, 2048) 1050624 activation_41[0][0] __________________________________________________________________________________________________ batch_normalization_53 (BatchNo (None, 7, 7, 2048) 8192 conv2d_53[0][0] __________________________________________________________________________________________________ batch_normalization_56 (BatchNo (None, 7, 7, 2048) 8192 conv2d_56[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 7, 7, 2048) 0 batch_normalization_53[0][0] batch_normalization_56[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 7, 7, 2048) 0 add_13[0][0] __________________________________________________________________________________________________ conv2d_58 (Conv2D) (None, 7, 7, 512) 1049088 activation_42[0][0] __________________________________________________________________________________________________ batch_normalization_58 (BatchNo (None, 7, 7, 512) 2048 conv2d_58[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 7, 7, 512) 0 batch_normalization_58[0][0] __________________________________________________________________________________________________ conv2d_59 (Conv2D) (None, 7, 7, 512) 2359808 activation_43[0][0] __________________________________________________________________________________________________ batch_normalization_59 (BatchNo (None, 7, 7, 512) 2048 conv2d_59[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 7, 7, 512) 0 batch_normalization_59[0][0] __________________________________________________________________________________________________ conv2d_57 (Conv2D) (None, 7, 7, 2048) 4196352 activation_42[0][0] __________________________________________________________________________________________________ conv2d_60 (Conv2D) (None, 7, 7, 2048) 1050624 activation_44[0][0] __________________________________________________________________________________________________ batch_normalization_57 (BatchNo (None, 7, 7, 2048) 8192 conv2d_57[0][0] __________________________________________________________________________________________________ batch_normalization_60 (BatchNo (None, 7, 7, 2048) 8192 conv2d_60[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 7, 7, 2048) 0 batch_normalization_57[0][0] batch_normalization_60[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 7, 7, 2048) 0 add_14[0][0] __________________________________________________________________________________________________ conv2d_62 (Conv2D) (None, 7, 7, 512) 1049088 activation_45[0][0] __________________________________________________________________________________________________ batch_normalization_62 (BatchNo (None, 7, 7, 512) 2048 conv2d_62[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 7, 7, 512) 0 batch_normalization_62[0][0] __________________________________________________________________________________________________ conv2d_63 (Conv2D) (None, 7, 7, 512) 2359808 activation_46[0][0] __________________________________________________________________________________________________ batch_normalization_63 (BatchNo (None, 7, 7, 512) 2048 conv2d_63[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 7, 7, 512) 0 batch_normalization_63[0][0] __________________________________________________________________________________________________ conv2d_61 (Conv2D) (None, 7, 7, 2048) 4196352 activation_45[0][0] __________________________________________________________________________________________________ conv2d_64 (Conv2D) (None, 7, 7, 2048) 1050624 activation_47[0][0] __________________________________________________________________________________________________ batch_normalization_61 (BatchNo (None, 7, 7, 2048) 8192 conv2d_61[0][0] __________________________________________________________________________________________________ batch_normalization_64 (BatchNo (None, 7, 7, 2048) 8192 conv2d_64[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 7, 7, 2048) 0 batch_normalization_61[0][0] batch_normalization_64[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 7, 7, 2048) 0 add_15[0][0] __________________________________________________________________________________________________ global_average_pooling2d (Globa (None, 2048) 0 activation_48[0][0] __________________________________________________________________________________________________ dense (Dense) (None, 100) 204900 global_average_pooling2d[0][0] ================================================================================================== Total params: 38,397,924 Trainable params: 38,322,276 Non-trainable params: 75,648 __________________________________________________________________________________________________ MaxPoolingした後のサイズが127になってます。こいつもZeroPaddingで対処してしまいます。 5回目 入力サイズは改めて224x224x3、出力は1000にします。 出力 Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 224, 224, 3) 0 __________________________________________________________________________________________________ zero_padding2d (ZeroPadding2D) (None, 230, 230, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv2d (Conv2D) (None, 112, 112, 64) 9472 zero_padding2d[0][0] __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 112, 112, 64) 256 conv2d[0][0] __________________________________________________________________________________________________ activation (Activation) (None, 112, 112, 64) 0 batch_normalization[0][0] __________________________________________________________________________________________________ zero_padding2d_1 (ZeroPadding2D (None, 114, 114, 64) 0 activation[0][0] __________________________________________________________________________________________________ max_pooling2d (MaxPooling2D) (None, 56, 56, 64) 0 zero_padding2d_1[0][0] __________________________________________________________________________________________________ conv2d_2 (Conv2D) (None, 56, 56, 64) 4160 max_pooling2d[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 56, 56, 64) 256 conv2d_2[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 56, 56, 64) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ conv2d_3 (Conv2D) (None, 56, 56, 64) 36928 activation_1[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 56, 56, 64) 256 conv2d_3[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 56, 56, 64) 0 batch_normalization_3[0][0] __________________________________________________________________________________________________ conv2d_1 (Conv2D) (None, 56, 56, 256) 16640 max_pooling2d[0][0] __________________________________________________________________________________________________ conv2d_4 (Conv2D) (None, 56, 56, 256) 16640 activation_2[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 56, 56, 256) 1024 conv2d_1[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 56, 56, 256) 1024 conv2d_4[0][0] __________________________________________________________________________________________________ add (Add) (None, 56, 56, 256) 0 batch_normalization_1[0][0] batch_normalization_4[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 56, 56, 256) 0 add[0][0] __________________________________________________________________________________________________ conv2d_6 (Conv2D) (None, 56, 56, 64) 16448 activation_3[0][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 56, 56, 64) 256 conv2d_6[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 56, 56, 64) 0 batch_normalization_6[0][0] __________________________________________________________________________________________________ conv2d_7 (Conv2D) (None, 56, 56, 64) 36928 activation_4[0][0] __________________________________________________________________________________________________ batch_normalization_7 (BatchNor (None, 56, 56, 64) 256 conv2d_7[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 56, 56, 64) 0 batch_normalization_7[0][0] __________________________________________________________________________________________________ conv2d_5 (Conv2D) (None, 56, 56, 256) 65792 activation_3[0][0] __________________________________________________________________________________________________ conv2d_8 (Conv2D) (None, 56, 56, 256) 16640 activation_5[0][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 56, 56, 256) 1024 conv2d_5[0][0] __________________________________________________________________________________________________ batch_normalization_8 (BatchNor (None, 56, 56, 256) 1024 conv2d_8[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 56, 56, 256) 0 batch_normalization_5[0][0] batch_normalization_8[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 56, 56, 256) 0 add_1[0][0] __________________________________________________________________________________________________ conv2d_10 (Conv2D) (None, 56, 56, 64) 16448 activation_6[0][0] __________________________________________________________________________________________________ batch_normalization_10 (BatchNo (None, 56, 56, 64) 256 conv2d_10[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 56, 56, 64) 0 batch_normalization_10[0][0] __________________________________________________________________________________________________ conv2d_11 (Conv2D) (None, 56, 56, 64) 36928 activation_7[0][0] __________________________________________________________________________________________________ batch_normalization_11 (BatchNo (None, 56, 56, 64) 256 conv2d_11[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 56, 56, 64) 0 batch_normalization_11[0][0] __________________________________________________________________________________________________ conv2d_9 (Conv2D) (None, 56, 56, 256) 65792 activation_6[0][0] __________________________________________________________________________________________________ conv2d_12 (Conv2D) (None, 56, 56, 256) 16640 activation_8[0][0] __________________________________________________________________________________________________ batch_normalization_9 (BatchNor (None, 56, 56, 256) 1024 conv2d_9[0][0] __________________________________________________________________________________________________ batch_normalization_12 (BatchNo (None, 56, 56, 256) 1024 conv2d_12[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 56, 56, 256) 0 batch_normalization_9[0][0] batch_normalization_12[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 56, 56, 256) 0 add_2[0][0] __________________________________________________________________________________________________ conv2d_14 (Conv2D) (None, 28, 28, 128) 32896 activation_9[0][0] __________________________________________________________________________________________________ batch_normalization_14 (BatchNo (None, 28, 28, 128) 512 conv2d_14[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 28, 28, 128) 0 batch_normalization_14[0][0] __________________________________________________________________________________________________ conv2d_15 (Conv2D) (None, 28, 28, 128) 147584 activation_10[0][0] __________________________________________________________________________________________________ batch_normalization_15 (BatchNo (None, 28, 28, 128) 512 conv2d_15[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 28, 28, 128) 0 batch_normalization_15[0][0] __________________________________________________________________________________________________ conv2d_13 (Conv2D) (None, 28, 28, 512) 131584 activation_9[0][0] __________________________________________________________________________________________________ conv2d_16 (Conv2D) (None, 28, 28, 512) 66048 activation_11[0][0] __________________________________________________________________________________________________ batch_normalization_13 (BatchNo (None, 28, 28, 512) 2048 conv2d_13[0][0] __________________________________________________________________________________________________ batch_normalization_16 (BatchNo (None, 28, 28, 512) 2048 conv2d_16[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 28, 28, 512) 0 batch_normalization_13[0][0] batch_normalization_16[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 28, 28, 512) 0 add_3[0][0] __________________________________________________________________________________________________ conv2d_18 (Conv2D) (None, 28, 28, 128) 65664 activation_12[0][0] __________________________________________________________________________________________________ batch_normalization_18 (BatchNo (None, 28, 28, 128) 512 conv2d_18[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 28, 28, 128) 0 batch_normalization_18[0][0] __________________________________________________________________________________________________ conv2d_19 (Conv2D) (None, 28, 28, 128) 147584 activation_13[0][0] __________________________________________________________________________________________________ batch_normalization_19 (BatchNo (None, 28, 28, 128) 512 conv2d_19[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 28, 28, 128) 0 batch_normalization_19[0][0] __________________________________________________________________________________________________ conv2d_17 (Conv2D) (None, 28, 28, 512) 262656 activation_12[0][0] __________________________________________________________________________________________________ conv2d_20 (Conv2D) (None, 28, 28, 512) 66048 activation_14[0][0] __________________________________________________________________________________________________ batch_normalization_17 (BatchNo (None, 28, 28, 512) 2048 conv2d_17[0][0] __________________________________________________________________________________________________ batch_normalization_20 (BatchNo (None, 28, 28, 512) 2048 conv2d_20[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 28, 28, 512) 0 batch_normalization_17[0][0] batch_normalization_20[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 28, 28, 512) 0 add_4[0][0] __________________________________________________________________________________________________ conv2d_22 (Conv2D) (None, 28, 28, 128) 65664 activation_15[0][0] __________________________________________________________________________________________________ batch_normalization_22 (BatchNo (None, 28, 28, 128) 512 conv2d_22[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 28, 28, 128) 0 batch_normalization_22[0][0] __________________________________________________________________________________________________ conv2d_23 (Conv2D) (None, 28, 28, 128) 147584 activation_16[0][0] __________________________________________________________________________________________________ batch_normalization_23 (BatchNo (None, 28, 28, 128) 512 conv2d_23[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 28, 28, 128) 0 batch_normalization_23[0][0] __________________________________________________________________________________________________ conv2d_21 (Conv2D) (None, 28, 28, 512) 262656 activation_15[0][0] __________________________________________________________________________________________________ conv2d_24 (Conv2D) (None, 28, 28, 512) 66048 activation_17[0][0] __________________________________________________________________________________________________ batch_normalization_21 (BatchNo (None, 28, 28, 512) 2048 conv2d_21[0][0] __________________________________________________________________________________________________ batch_normalization_24 (BatchNo (None, 28, 28, 512) 2048 conv2d_24[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 28, 28, 512) 0 batch_normalization_21[0][0] batch_normalization_24[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 28, 28, 512) 0 add_5[0][0] __________________________________________________________________________________________________ conv2d_26 (Conv2D) (None, 28, 28, 128) 65664 activation_18[0][0] __________________________________________________________________________________________________ batch_normalization_26 (BatchNo (None, 28, 28, 128) 512 conv2d_26[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 28, 28, 128) 0 batch_normalization_26[0][0] __________________________________________________________________________________________________ conv2d_27 (Conv2D) (None, 28, 28, 128) 147584 activation_19[0][0] __________________________________________________________________________________________________ batch_normalization_27 (BatchNo (None, 28, 28, 128) 512 conv2d_27[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 28, 28, 128) 0 batch_normalization_27[0][0] __________________________________________________________________________________________________ conv2d_25 (Conv2D) (None, 28, 28, 512) 262656 activation_18[0][0] __________________________________________________________________________________________________ conv2d_28 (Conv2D) (None, 28, 28, 512) 66048 activation_20[0][0] __________________________________________________________________________________________________ batch_normalization_25 (BatchNo (None, 28, 28, 512) 2048 conv2d_25[0][0] __________________________________________________________________________________________________ batch_normalization_28 (BatchNo (None, 28, 28, 512) 2048 conv2d_28[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 28, 28, 512) 0 batch_normalization_25[0][0] batch_normalization_28[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 28, 28, 512) 0 add_6[0][0] __________________________________________________________________________________________________ conv2d_30 (Conv2D) (None, 14, 14, 256) 131328 activation_21[0][0] __________________________________________________________________________________________________ batch_normalization_30 (BatchNo (None, 14, 14, 256) 1024 conv2d_30[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 14, 14, 256) 0 batch_normalization_30[0][0] __________________________________________________________________________________________________ conv2d_31 (Conv2D) (None, 14, 14, 256) 590080 activation_22[0][0] __________________________________________________________________________________________________ batch_normalization_31 (BatchNo (None, 14, 14, 256) 1024 conv2d_31[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 14, 14, 256) 0 batch_normalization_31[0][0] __________________________________________________________________________________________________ conv2d_29 (Conv2D) (None, 14, 14, 1024) 525312 activation_21[0][0] __________________________________________________________________________________________________ conv2d_32 (Conv2D) (None, 14, 14, 1024) 263168 activation_23[0][0] __________________________________________________________________________________________________ batch_normalization_29 (BatchNo (None, 14, 14, 1024) 4096 conv2d_29[0][0] __________________________________________________________________________________________________ batch_normalization_32 (BatchNo (None, 14, 14, 1024) 4096 conv2d_32[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 14, 14, 1024) 0 batch_normalization_29[0][0] batch_normalization_32[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 14, 14, 1024) 0 add_7[0][0] __________________________________________________________________________________________________ conv2d_34 (Conv2D) (None, 14, 14, 256) 262400 activation_24[0][0] __________________________________________________________________________________________________ batch_normalization_34 (BatchNo (None, 14, 14, 256) 1024 conv2d_34[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 14, 14, 256) 0 batch_normalization_34[0][0] __________________________________________________________________________________________________ conv2d_35 (Conv2D) (None, 14, 14, 256) 590080 activation_25[0][0] __________________________________________________________________________________________________ batch_normalization_35 (BatchNo (None, 14, 14, 256) 1024 conv2d_35[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 14, 14, 256) 0 batch_normalization_35[0][0] __________________________________________________________________________________________________ conv2d_33 (Conv2D) (None, 14, 14, 1024) 1049600 activation_24[0][0] __________________________________________________________________________________________________ conv2d_36 (Conv2D) (None, 14, 14, 1024) 263168 activation_26[0][0] __________________________________________________________________________________________________ batch_normalization_33 (BatchNo (None, 14, 14, 1024) 4096 conv2d_33[0][0] __________________________________________________________________________________________________ batch_normalization_36 (BatchNo (None, 14, 14, 1024) 4096 conv2d_36[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 14, 14, 1024) 0 batch_normalization_33[0][0] batch_normalization_36[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 14, 14, 1024) 0 add_8[0][0] __________________________________________________________________________________________________ conv2d_38 (Conv2D) (None, 14, 14, 256) 262400 activation_27[0][0] __________________________________________________________________________________________________ batch_normalization_38 (BatchNo (None, 14, 14, 256) 1024 conv2d_38[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 14, 14, 256) 0 batch_normalization_38[0][0] __________________________________________________________________________________________________ conv2d_39 (Conv2D) (None, 14, 14, 256) 590080 activation_28[0][0] __________________________________________________________________________________________________ batch_normalization_39 (BatchNo (None, 14, 14, 256) 1024 conv2d_39[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 14, 14, 256) 0 batch_normalization_39[0][0] __________________________________________________________________________________________________ conv2d_37 (Conv2D) (None, 14, 14, 1024) 1049600 activation_27[0][0] __________________________________________________________________________________________________ conv2d_40 (Conv2D) (None, 14, 14, 1024) 263168 activation_29[0][0] __________________________________________________________________________________________________ batch_normalization_37 (BatchNo (None, 14, 14, 1024) 4096 conv2d_37[0][0] __________________________________________________________________________________________________ batch_normalization_40 (BatchNo (None, 14, 14, 1024) 4096 conv2d_40[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 14, 14, 1024) 0 batch_normalization_37[0][0] batch_normalization_40[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 14, 14, 1024) 0 add_9[0][0] __________________________________________________________________________________________________ conv2d_42 (Conv2D) (None, 14, 14, 256) 262400 activation_30[0][0] __________________________________________________________________________________________________ batch_normalization_42 (BatchNo (None, 14, 14, 256) 1024 conv2d_42[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 14, 14, 256) 0 batch_normalization_42[0][0] __________________________________________________________________________________________________ conv2d_43 (Conv2D) (None, 14, 14, 256) 590080 activation_31[0][0] __________________________________________________________________________________________________ batch_normalization_43 (BatchNo (None, 14, 14, 256) 1024 conv2d_43[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 14, 14, 256) 0 batch_normalization_43[0][0] __________________________________________________________________________________________________ conv2d_41 (Conv2D) (None, 14, 14, 1024) 1049600 activation_30[0][0] __________________________________________________________________________________________________ conv2d_44 (Conv2D) (None, 14, 14, 1024) 263168 activation_32[0][0] __________________________________________________________________________________________________ batch_normalization_41 (BatchNo (None, 14, 14, 1024) 4096 conv2d_41[0][0] __________________________________________________________________________________________________ batch_normalization_44 (BatchNo (None, 14, 14, 1024) 4096 conv2d_44[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 14, 14, 1024) 0 batch_normalization_41[0][0] batch_normalization_44[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 14, 14, 1024) 0 add_10[0][0] __________________________________________________________________________________________________ conv2d_46 (Conv2D) (None, 14, 14, 256) 262400 activation_33[0][0] __________________________________________________________________________________________________ batch_normalization_46 (BatchNo (None, 14, 14, 256) 1024 conv2d_46[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 14, 14, 256) 0 batch_normalization_46[0][0] __________________________________________________________________________________________________ conv2d_47 (Conv2D) (None, 14, 14, 256) 590080 activation_34[0][0] __________________________________________________________________________________________________ batch_normalization_47 (BatchNo (None, 14, 14, 256) 1024 conv2d_47[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 14, 14, 256) 0 batch_normalization_47[0][0] __________________________________________________________________________________________________ conv2d_45 (Conv2D) (None, 14, 14, 1024) 1049600 activation_33[0][0] __________________________________________________________________________________________________ conv2d_48 (Conv2D) (None, 14, 14, 1024) 263168 activation_35[0][0] __________________________________________________________________________________________________ batch_normalization_45 (BatchNo (None, 14, 14, 1024) 4096 conv2d_45[0][0] __________________________________________________________________________________________________ batch_normalization_48 (BatchNo (None, 14, 14, 1024) 4096 conv2d_48[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 14, 14, 1024) 0 batch_normalization_45[0][0] batch_normalization_48[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 14, 14, 1024) 0 add_11[0][0] __________________________________________________________________________________________________ conv2d_50 (Conv2D) (None, 14, 14, 256) 262400 activation_36[0][0] __________________________________________________________________________________________________ batch_normalization_50 (BatchNo (None, 14, 14, 256) 1024 conv2d_50[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 14, 14, 256) 0 batch_normalization_50[0][0] __________________________________________________________________________________________________ conv2d_51 (Conv2D) (None, 14, 14, 256) 590080 activation_37[0][0] __________________________________________________________________________________________________ batch_normalization_51 (BatchNo (None, 14, 14, 256) 1024 conv2d_51[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 14, 14, 256) 0 batch_normalization_51[0][0] __________________________________________________________________________________________________ conv2d_49 (Conv2D) (None, 14, 14, 1024) 1049600 activation_36[0][0] __________________________________________________________________________________________________ conv2d_52 (Conv2D) (None, 14, 14, 1024) 263168 activation_38[0][0] __________________________________________________________________________________________________ batch_normalization_49 (BatchNo (None, 14, 14, 1024) 4096 conv2d_49[0][0] __________________________________________________________________________________________________ batch_normalization_52 (BatchNo (None, 14, 14, 1024) 4096 conv2d_52[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 14, 14, 1024) 0 batch_normalization_49[0][0] batch_normalization_52[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 14, 14, 1024) 0 add_12[0][0] __________________________________________________________________________________________________ conv2d_54 (Conv2D) (None, 7, 7, 512) 524800 activation_39[0][0] __________________________________________________________________________________________________ batch_normalization_54 (BatchNo (None, 7, 7, 512) 2048 conv2d_54[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 7, 7, 512) 0 batch_normalization_54[0][0] __________________________________________________________________________________________________ conv2d_55 (Conv2D) (None, 7, 7, 512) 2359808 activation_40[0][0] __________________________________________________________________________________________________ batch_normalization_55 (BatchNo (None, 7, 7, 512) 2048 conv2d_55[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 7, 7, 512) 0 batch_normalization_55[0][0] __________________________________________________________________________________________________ conv2d_53 (Conv2D) (None, 7, 7, 2048) 2099200 activation_39[0][0] __________________________________________________________________________________________________ conv2d_56 (Conv2D) (None, 7, 7, 2048) 1050624 activation_41[0][0] __________________________________________________________________________________________________ batch_normalization_53 (BatchNo (None, 7, 7, 2048) 8192 conv2d_53[0][0] __________________________________________________________________________________________________ batch_normalization_56 (BatchNo (None, 7, 7, 2048) 8192 conv2d_56[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 7, 7, 2048) 0 batch_normalization_53[0][0] batch_normalization_56[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 7, 7, 2048) 0 add_13[0][0] __________________________________________________________________________________________________ conv2d_58 (Conv2D) (None, 7, 7, 512) 1049088 activation_42[0][0] __________________________________________________________________________________________________ batch_normalization_58 (BatchNo (None, 7, 7, 512) 2048 conv2d_58[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 7, 7, 512) 0 batch_normalization_58[0][0] __________________________________________________________________________________________________ conv2d_59 (Conv2D) (None, 7, 7, 512) 2359808 activation_43[0][0] __________________________________________________________________________________________________ batch_normalization_59 (BatchNo (None, 7, 7, 512) 2048 conv2d_59[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 7, 7, 512) 0 batch_normalization_59[0][0] __________________________________________________________________________________________________ conv2d_57 (Conv2D) (None, 7, 7, 2048) 4196352 activation_42[0][0] __________________________________________________________________________________________________ conv2d_60 (Conv2D) (None, 7, 7, 2048) 1050624 activation_44[0][0] __________________________________________________________________________________________________ batch_normalization_57 (BatchNo (None, 7, 7, 2048) 8192 conv2d_57[0][0] __________________________________________________________________________________________________ batch_normalization_60 (BatchNo (None, 7, 7, 2048) 8192 conv2d_60[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 7, 7, 2048) 0 batch_normalization_57[0][0] batch_normalization_60[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 7, 7, 2048) 0 add_14[0][0] __________________________________________________________________________________________________ conv2d_62 (Conv2D) (None, 7, 7, 512) 1049088 activation_45[0][0] __________________________________________________________________________________________________ batch_normalization_62 (BatchNo (None, 7, 7, 512) 2048 conv2d_62[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 7, 7, 512) 0 batch_normalization_62[0][0] __________________________________________________________________________________________________ conv2d_63 (Conv2D) (None, 7, 7, 512) 2359808 activation_46[0][0] __________________________________________________________________________________________________ batch_normalization_63 (BatchNo (None, 7, 7, 512) 2048 conv2d_63[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 7, 7, 512) 0 batch_normalization_63[0][0] __________________________________________________________________________________________________ conv2d_61 (Conv2D) (None, 7, 7, 2048) 4196352 activation_45[0][0] __________________________________________________________________________________________________ conv2d_64 (Conv2D) (None, 7, 7, 2048) 1050624 activation_47[0][0] __________________________________________________________________________________________________ batch_normalization_61 (BatchNo (None, 7, 7, 2048) 8192 conv2d_61[0][0] __________________________________________________________________________________________________ batch_normalization_64 (BatchNo (None, 7, 7, 2048) 8192 conv2d_64[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 7, 7, 2048) 0 batch_normalization_61[0][0] batch_normalization_64[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 7, 7, 2048) 0 add_15[0][0] __________________________________________________________________________________________________ global_average_pooling2d (Globa (None, 2048) 0 activation_48[0][0] __________________________________________________________________________________________________ dense (Dense) (None, 1000) 2049000 global_average_pooling2d[0][0] ================================================================================================== Total params: 40,242,024 Trainable params: 40,166,376 Non-trainable params: 75,648 __________________________________________________________________________________________________ 再び答え合わせしてみましたが、パラメータが異様に多い気がします(tf.keras公式だとだいたい2500万ほど)。 6回目 にらめっこしてましたが、$\bf x$のフィルターを毎度4倍にしてるのが原因っぽそうです。そういえば結合してしまえばフィルターは4倍してやる必要ないですよね。 結果 出力 Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 224, 224, 3) 0 __________________________________________________________________________________________________ zero_padding2d (ZeroPadding2D) (None, 230, 230, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv2d (Conv2D) (None, 112, 112, 64) 9472 zero_padding2d[0][0] __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 112, 112, 64) 256 conv2d[0][0] __________________________________________________________________________________________________ activation (Activation) (None, 112, 112, 64) 0 batch_normalization[0][0] __________________________________________________________________________________________________ zero_padding2d_1 (ZeroPadding2D (None, 114, 114, 64) 0 activation[0][0] __________________________________________________________________________________________________ max_pooling2d (MaxPooling2D) (None, 56, 56, 64) 0 zero_padding2d_1[0][0] __________________________________________________________________________________________________ conv2d_2 (Conv2D) (None, 56, 56, 64) 4160 max_pooling2d[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 56, 56, 64) 256 conv2d_2[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 56, 56, 64) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ conv2d_3 (Conv2D) (None, 56, 56, 64) 36928 activation_1[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 56, 56, 64) 256 conv2d_3[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 56, 56, 64) 0 batch_normalization_3[0][0] __________________________________________________________________________________________________ conv2d_1 (Conv2D) (None, 56, 56, 256) 16640 max_pooling2d[0][0] __________________________________________________________________________________________________ conv2d_4 (Conv2D) (None, 56, 56, 256) 16640 activation_2[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 56, 56, 256) 1024 conv2d_1[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 56, 56, 256) 1024 conv2d_4[0][0] __________________________________________________________________________________________________ add (Add) (None, 56, 56, 256) 0 batch_normalization_1[0][0] batch_normalization_4[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 56, 56, 256) 0 add[0][0] __________________________________________________________________________________________________ conv2d_5 (Conv2D) (None, 56, 56, 64) 16448 activation_3[0][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 56, 56, 64) 256 conv2d_5[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 56, 56, 64) 0 batch_normalization_5[0][0] __________________________________________________________________________________________________ conv2d_6 (Conv2D) (None, 56, 56, 64) 36928 activation_4[0][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 56, 56, 64) 256 conv2d_6[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 56, 56, 64) 0 batch_normalization_6[0][0] __________________________________________________________________________________________________ conv2d_7 (Conv2D) (None, 56, 56, 256) 16640 activation_5[0][0] __________________________________________________________________________________________________ batch_normalization_7 (BatchNor (None, 56, 56, 256) 1024 conv2d_7[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 56, 56, 256) 0 activation_3[0][0] batch_normalization_7[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 56, 56, 256) 0 add_1[0][0] __________________________________________________________________________________________________ conv2d_8 (Conv2D) (None, 56, 56, 64) 16448 activation_6[0][0] __________________________________________________________________________________________________ batch_normalization_8 (BatchNor (None, 56, 56, 64) 256 conv2d_8[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 56, 56, 64) 0 batch_normalization_8[0][0] __________________________________________________________________________________________________ conv2d_9 (Conv2D) (None, 56, 56, 64) 36928 activation_7[0][0] __________________________________________________________________________________________________ batch_normalization_9 (BatchNor (None, 56, 56, 64) 256 conv2d_9[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 56, 56, 64) 0 batch_normalization_9[0][0] __________________________________________________________________________________________________ conv2d_10 (Conv2D) (None, 56, 56, 256) 16640 activation_8[0][0] __________________________________________________________________________________________________ batch_normalization_10 (BatchNo (None, 56, 56, 256) 1024 conv2d_10[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 56, 56, 256) 0 activation_6[0][0] batch_normalization_10[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 56, 56, 256) 0 add_2[0][0] __________________________________________________________________________________________________ conv2d_12 (Conv2D) (None, 28, 28, 128) 32896 activation_9[0][0] __________________________________________________________________________________________________ batch_normalization_12 (BatchNo (None, 28, 28, 128) 512 conv2d_12[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 28, 28, 128) 0 batch_normalization_12[0][0] __________________________________________________________________________________________________ conv2d_13 (Conv2D) (None, 28, 28, 128) 147584 activation_10[0][0] __________________________________________________________________________________________________ batch_normalization_13 (BatchNo (None, 28, 28, 128) 512 conv2d_13[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 28, 28, 128) 0 batch_normalization_13[0][0] __________________________________________________________________________________________________ conv2d_11 (Conv2D) (None, 28, 28, 512) 131584 activation_9[0][0] __________________________________________________________________________________________________ conv2d_14 (Conv2D) (None, 28, 28, 512) 66048 activation_11[0][0] __________________________________________________________________________________________________ batch_normalization_11 (BatchNo (None, 28, 28, 512) 2048 conv2d_11[0][0] __________________________________________________________________________________________________ batch_normalization_14 (BatchNo (None, 28, 28, 512) 2048 conv2d_14[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 28, 28, 512) 0 batch_normalization_11[0][0] batch_normalization_14[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 28, 28, 512) 0 add_3[0][0] __________________________________________________________________________________________________ conv2d_15 (Conv2D) (None, 28, 28, 128) 65664 activation_12[0][0] __________________________________________________________________________________________________ batch_normalization_15 (BatchNo (None, 28, 28, 128) 512 conv2d_15[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 28, 28, 128) 0 batch_normalization_15[0][0] __________________________________________________________________________________________________ conv2d_16 (Conv2D) (None, 28, 28, 128) 147584 activation_13[0][0] __________________________________________________________________________________________________ batch_normalization_16 (BatchNo (None, 28, 28, 128) 512 conv2d_16[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 28, 28, 128) 0 batch_normalization_16[0][0] __________________________________________________________________________________________________ conv2d_17 (Conv2D) (None, 28, 28, 512) 66048 activation_14[0][0] __________________________________________________________________________________________________ batch_normalization_17 (BatchNo (None, 28, 28, 512) 2048 conv2d_17[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 28, 28, 512) 0 activation_12[0][0] batch_normalization_17[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 28, 28, 512) 0 add_4[0][0] __________________________________________________________________________________________________ conv2d_18 (Conv2D) (None, 28, 28, 128) 65664 activation_15[0][0] __________________________________________________________________________________________________ batch_normalization_18 (BatchNo (None, 28, 28, 128) 512 conv2d_18[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 28, 28, 128) 0 batch_normalization_18[0][0] __________________________________________________________________________________________________ conv2d_19 (Conv2D) (None, 28, 28, 128) 147584 activation_16[0][0] __________________________________________________________________________________________________ batch_normalization_19 (BatchNo (None, 28, 28, 128) 512 conv2d_19[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 28, 28, 128) 0 batch_normalization_19[0][0] __________________________________________________________________________________________________ conv2d_20 (Conv2D) (None, 28, 28, 512) 66048 activation_17[0][0] __________________________________________________________________________________________________ batch_normalization_20 (BatchNo (None, 28, 28, 512) 2048 conv2d_20[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 28, 28, 512) 0 activation_15[0][0] batch_normalization_20[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 28, 28, 512) 0 add_5[0][0] __________________________________________________________________________________________________ conv2d_21 (Conv2D) (None, 28, 28, 128) 65664 activation_18[0][0] __________________________________________________________________________________________________ batch_normalization_21 (BatchNo (None, 28, 28, 128) 512 conv2d_21[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 28, 28, 128) 0 batch_normalization_21[0][0] __________________________________________________________________________________________________ conv2d_22 (Conv2D) (None, 28, 28, 128) 147584 activation_19[0][0] __________________________________________________________________________________________________ batch_normalization_22 (BatchNo (None, 28, 28, 128) 512 conv2d_22[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 28, 28, 128) 0 batch_normalization_22[0][0] __________________________________________________________________________________________________ conv2d_23 (Conv2D) (None, 28, 28, 512) 66048 activation_20[0][0] __________________________________________________________________________________________________ batch_normalization_23 (BatchNo (None, 28, 28, 512) 2048 conv2d_23[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 28, 28, 512) 0 activation_18[0][0] batch_normalization_23[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 28, 28, 512) 0 add_6[0][0] __________________________________________________________________________________________________ conv2d_25 (Conv2D) (None, 14, 14, 256) 131328 activation_21[0][0] __________________________________________________________________________________________________ batch_normalization_25 (BatchNo (None, 14, 14, 256) 1024 conv2d_25[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 14, 14, 256) 0 batch_normalization_25[0][0] __________________________________________________________________________________________________ conv2d_26 (Conv2D) (None, 14, 14, 256) 590080 activation_22[0][0] __________________________________________________________________________________________________ batch_normalization_26 (BatchNo (None, 14, 14, 256) 1024 conv2d_26[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 14, 14, 256) 0 batch_normalization_26[0][0] __________________________________________________________________________________________________ conv2d_24 (Conv2D) (None, 14, 14, 1024) 525312 activation_21[0][0] __________________________________________________________________________________________________ conv2d_27 (Conv2D) (None, 14, 14, 1024) 263168 activation_23[0][0] __________________________________________________________________________________________________ batch_normalization_24 (BatchNo (None, 14, 14, 1024) 4096 conv2d_24[0][0] __________________________________________________________________________________________________ batch_normalization_27 (BatchNo (None, 14, 14, 1024) 4096 conv2d_27[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 14, 14, 1024) 0 batch_normalization_24[0][0] batch_normalization_27[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 14, 14, 1024) 0 add_7[0][0] __________________________________________________________________________________________________ conv2d_28 (Conv2D) (None, 14, 14, 256) 262400 activation_24[0][0] __________________________________________________________________________________________________ batch_normalization_28 (BatchNo (None, 14, 14, 256) 1024 conv2d_28[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 14, 14, 256) 0 batch_normalization_28[0][0] __________________________________________________________________________________________________ conv2d_29 (Conv2D) (None, 14, 14, 256) 590080 activation_25[0][0] __________________________________________________________________________________________________ batch_normalization_29 (BatchNo (None, 14, 14, 256) 1024 conv2d_29[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 14, 14, 256) 0 batch_normalization_29[0][0] __________________________________________________________________________________________________ conv2d_30 (Conv2D) (None, 14, 14, 1024) 263168 activation_26[0][0] __________________________________________________________________________________________________ batch_normalization_30 (BatchNo (None, 14, 14, 1024) 4096 conv2d_30[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 14, 14, 1024) 0 activation_24[0][0] batch_normalization_30[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 14, 14, 1024) 0 add_8[0][0] __________________________________________________________________________________________________ conv2d_31 (Conv2D) (None, 14, 14, 256) 262400 activation_27[0][0] __________________________________________________________________________________________________ batch_normalization_31 (BatchNo (None, 14, 14, 256) 1024 conv2d_31[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 14, 14, 256) 0 batch_normalization_31[0][0] __________________________________________________________________________________________________ conv2d_32 (Conv2D) (None, 14, 14, 256) 590080 activation_28[0][0] __________________________________________________________________________________________________ batch_normalization_32 (BatchNo (None, 14, 14, 256) 1024 conv2d_32[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 14, 14, 256) 0 batch_normalization_32[0][0] __________________________________________________________________________________________________ conv2d_33 (Conv2D) (None, 14, 14, 1024) 263168 activation_29[0][0] __________________________________________________________________________________________________ batch_normalization_33 (BatchNo (None, 14, 14, 1024) 4096 conv2d_33[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 14, 14, 1024) 0 activation_27[0][0] batch_normalization_33[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 14, 14, 1024) 0 add_9[0][0] __________________________________________________________________________________________________ conv2d_34 (Conv2D) (None, 14, 14, 256) 262400 activation_30[0][0] __________________________________________________________________________________________________ batch_normalization_34 (BatchNo (None, 14, 14, 256) 1024 conv2d_34[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 14, 14, 256) 0 batch_normalization_34[0][0] __________________________________________________________________________________________________ conv2d_35 (Conv2D) (None, 14, 14, 256) 590080 activation_31[0][0] __________________________________________________________________________________________________ batch_normalization_35 (BatchNo (None, 14, 14, 256) 1024 conv2d_35[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 14, 14, 256) 0 batch_normalization_35[0][0] __________________________________________________________________________________________________ conv2d_36 (Conv2D) (None, 14, 14, 1024) 263168 activation_32[0][0] __________________________________________________________________________________________________ batch_normalization_36 (BatchNo (None, 14, 14, 1024) 4096 conv2d_36[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 14, 14, 1024) 0 activation_30[0][0] batch_normalization_36[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 14, 14, 1024) 0 add_10[0][0] __________________________________________________________________________________________________ conv2d_37 (Conv2D) (None, 14, 14, 256) 262400 activation_33[0][0] __________________________________________________________________________________________________ batch_normalization_37 (BatchNo (None, 14, 14, 256) 1024 conv2d_37[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 14, 14, 256) 0 batch_normalization_37[0][0] __________________________________________________________________________________________________ conv2d_38 (Conv2D) (None, 14, 14, 256) 590080 activation_34[0][0] __________________________________________________________________________________________________ batch_normalization_38 (BatchNo (None, 14, 14, 256) 1024 conv2d_38[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 14, 14, 256) 0 batch_normalization_38[0][0] __________________________________________________________________________________________________ conv2d_39 (Conv2D) (None, 14, 14, 1024) 263168 activation_35[0][0] __________________________________________________________________________________________________ batch_normalization_39 (BatchNo (None, 14, 14, 1024) 4096 conv2d_39[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 14, 14, 1024) 0 activation_33[0][0] batch_normalization_39[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 14, 14, 1024) 0 add_11[0][0] __________________________________________________________________________________________________ conv2d_40 (Conv2D) (None, 14, 14, 256) 262400 activation_36[0][0] __________________________________________________________________________________________________ batch_normalization_40 (BatchNo (None, 14, 14, 256) 1024 conv2d_40[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 14, 14, 256) 0 batch_normalization_40[0][0] __________________________________________________________________________________________________ conv2d_41 (Conv2D) (None, 14, 14, 256) 590080 activation_37[0][0] __________________________________________________________________________________________________ batch_normalization_41 (BatchNo (None, 14, 14, 256) 1024 conv2d_41[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 14, 14, 256) 0 batch_normalization_41[0][0] __________________________________________________________________________________________________ conv2d_42 (Conv2D) (None, 14, 14, 1024) 263168 activation_38[0][0] __________________________________________________________________________________________________ batch_normalization_42 (BatchNo (None, 14, 14, 1024) 4096 conv2d_42[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 14, 14, 1024) 0 activation_36[0][0] batch_normalization_42[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 14, 14, 1024) 0 add_12[0][0] __________________________________________________________________________________________________ conv2d_44 (Conv2D) (None, 7, 7, 512) 524800 activation_39[0][0] __________________________________________________________________________________________________ batch_normalization_44 (BatchNo (None, 7, 7, 512) 2048 conv2d_44[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 7, 7, 512) 0 batch_normalization_44[0][0] __________________________________________________________________________________________________ conv2d_45 (Conv2D) (None, 7, 7, 512) 2359808 activation_40[0][0] __________________________________________________________________________________________________ batch_normalization_45 (BatchNo (None, 7, 7, 512) 2048 conv2d_45[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 7, 7, 512) 0 batch_normalization_45[0][0] __________________________________________________________________________________________________ conv2d_43 (Conv2D) (None, 7, 7, 2048) 2099200 activation_39[0][0] __________________________________________________________________________________________________ conv2d_46 (Conv2D) (None, 7, 7, 2048) 1050624 activation_41[0][0] __________________________________________________________________________________________________ batch_normalization_43 (BatchNo (None, 7, 7, 2048) 8192 conv2d_43[0][0] __________________________________________________________________________________________________ batch_normalization_46 (BatchNo (None, 7, 7, 2048) 8192 conv2d_46[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 7, 7, 2048) 0 batch_normalization_43[0][0] batch_normalization_46[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 7, 7, 2048) 0 add_13[0][0] __________________________________________________________________________________________________ conv2d_47 (Conv2D) (None, 7, 7, 512) 1049088 activation_42[0][0] __________________________________________________________________________________________________ batch_normalization_47 (BatchNo (None, 7, 7, 512) 2048 conv2d_47[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 7, 7, 512) 0 batch_normalization_47[0][0] __________________________________________________________________________________________________ conv2d_48 (Conv2D) (None, 7, 7, 512) 2359808 activation_43[0][0] __________________________________________________________________________________________________ batch_normalization_48 (BatchNo (None, 7, 7, 512) 2048 conv2d_48[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 7, 7, 512) 0 batch_normalization_48[0][0] __________________________________________________________________________________________________ conv2d_49 (Conv2D) (None, 7, 7, 2048) 1050624 activation_44[0][0] __________________________________________________________________________________________________ batch_normalization_49 (BatchNo (None, 7, 7, 2048) 8192 conv2d_49[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 7, 7, 2048) 0 activation_42[0][0] batch_normalization_49[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 7, 7, 2048) 0 add_14[0][0] __________________________________________________________________________________________________ conv2d_50 (Conv2D) (None, 7, 7, 512) 1049088 activation_45[0][0] __________________________________________________________________________________________________ batch_normalization_50 (BatchNo (None, 7, 7, 512) 2048 conv2d_50[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 7, 7, 512) 0 batch_normalization_50[0][0] __________________________________________________________________________________________________ conv2d_51 (Conv2D) (None, 7, 7, 512) 2359808 activation_46[0][0] __________________________________________________________________________________________________ batch_normalization_51 (BatchNo (None, 7, 7, 512) 2048 conv2d_51[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 7, 7, 512) 0 batch_normalization_51[0][0] __________________________________________________________________________________________________ conv2d_52 (Conv2D) (None, 7, 7, 2048) 1050624 activation_47[0][0] __________________________________________________________________________________________________ batch_normalization_52 (BatchNo (None, 7, 7, 2048) 8192 conv2d_52[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 7, 7, 2048) 0 activation_45[0][0] batch_normalization_52[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 7, 7, 2048) 0 add_15[0][0] __________________________________________________________________________________________________ global_average_pooling2d (Globa (None, 2048) 0 activation_48[0][0] __________________________________________________________________________________________________ dense (Dense) (None, 1000) 2049000 global_average_pooling2d[0][0] ================================================================================================== Total params: 25,636,712 Trainable params: 25,583,592 Non-trainable params: 53,120 __________________________________________________________________________________________________ オッケーです! パラメータが公式実装のものと一致してくれました! 最後に モデル構築面白いです。次はUNetかDenseNet辺りでしょうか。 近いうちに記事にできればと思います。 書いたコード(最終結果) import os import warnings os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' warnings.simplefilter('ignore') from typing import Union import tensorflow as tf from tensorflow.keras.layers import (Activation, Add, BatchNormalization, Conv2D, Dense, GlobalAveragePooling2D, Input, MaxPooling2D, ZeroPadding2D) from tensorflow.keras.models import Model class ResNet(): """ResNet Architecture""" __LAYER_LOOPS = { '18' : [2,2,2,2], '34' : [3,4,6,3], '50' : [3,4,6,3], '101' : [3,4,23,3], '152' : [3,8,36,3] } def __init__(self, input_ch:tuple, output_ch:int, layers:str): try: self._range = self.__LAYER_LOOPS[layers] except KeyError: raise ValueError('ResNet layers must be [18, 34, 50, 101, 152].') self.input_ch = input_ch self.output_ch = output_ch self.layers = layers self.index = 0 def conv_bn_act(self, x, filters:Union[int, tuple, list], kernel_size:Union[int, tuple, list], strides:Union[int, tuple, list], skip_activation=False, **kwargs): """ Conv2D + BatchNormalization + Relu """ x = Conv2D(filters=filters, kernel_size=kernel_size, strides=strides, **kwargs)(x) x = BatchNormalization()(x) if not skip_activation: x = Activation('relu')(x) return x def conv_x(self, x, times, initial_strides=2): """conv{n}_x""" filters = 64*(2**times) for i in range(self._range[self.index]): if i==0: strides = initial_strides y = self.conv_bn_act(x, 4*filters, 1, strides=strides, skip_activation=True) else: strides = 1 y = x if self.layers == 18 or self.layers == 34: x = self.conv_bn_act(x, filters, 3, 2, padding='same') x = self.conv_bn_act(x, filters, 3, 1, skip_activation=True, padding='same') else: x = self.conv_bn_act(x, filters, 1, strides=strides) x = self.conv_bn_act(x, filters, 3, 1, padding='same') x = self.conv_bn_act(x, 4*filters, 1, 1, skip_activation=True) x = Add()([y, x]) x = Activation('relu')(x) self.index += 1 return x def build_resnet(self): input = Input(shape=self.input_ch) # 7x7 conv, 64, /2 x = ZeroPadding2D(padding=3)(input) x = self.conv_bn_act(x, filters=64, kernel_size=7, strides=(2,2)) # pool, /2 x = ZeroPadding2D()(x) x = MaxPooling2D(pool_size=(3,3), strides=2)(x) # conv2_x x = self.conv_x(x, 0, initial_strides=1) # conv3_x x = self.conv_x(x, 1) # conv4_x x = self.conv_x(x, 2) # conv5_x x = self.conv_x(x, 3) # average pool, softmax x = GlobalAveragePooling2D()(x) x = Dense(units = self.output_ch, activation='softmax')(x) model = Model(inputs = input, outputs = x) return model resnet_50 = ResNet(input_ch = (224, 224, 3), output_ch=1000, layers='50') model = resnet_50.build_resnet() model.summary()