Inception-v3 transfer learning「フリーズ」レイヤー

Question

私は、転送学習にInception-v3ネットワークを使用しました。ネットワークの最初の172のレイヤーは「フリーズ」されています。しかし、Inception-v3ネットワークには48層しかありません。 「余分な」層はどこから来たのですか？

ありがとうございます。

Answer 1

実際には、開始モジュールは少し複雑です。それは単一の支店を持っていません。その後、それらの複数のブランチは、単一のブランチに連結されます。ケラスのすべてのレイヤーをリストすると、次のようになります。

[ 1 ] <keras.engine.topology.InputLayer object at 0x7f94c6b95750> 
[ 2 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6577610> 
[ 3 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c65778d0> 
[ 4 ] <keras.layers.core.Activation object at 0x7f94c6577a90> 
[ 5 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6900f50> 
[ 6 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6878bd0> 
[ 7 ] <keras.layers.core.Activation object at 0x7f94c690e750> 
[ 8 ] <keras.layers.convolutional.Conv2D object at 0x7f94c68d1e10> 
[ 9 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c68d1f10> 
[ 10 ] <keras.layers.core.Activation object at 0x7f94c6652b90> 
[ 11 ] <keras.layers.pooling.MaxPooling2D object at 0x7f94c6319390> 
[ 12 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6309490> 
[ 13 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c62cea50> 
[ 14 ] <keras.layers.core.Activation object at 0x7f94c628b890> 
[ 15 ] <keras.layers.convolutional.Conv2D object at 0x7f94c62a4490> 
[ 16 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c62b7750> 
[ 17 ] <keras.layers.core.Activation object at 0x7f94c626ac50> 
[ 18 ] <keras.layers.pooling.MaxPooling2D object at 0x7f94c6226a10> 
[ 19 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6064850> 
[ 20 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6076b10> 
[ 21 ] <keras.layers.core.Activation object at 0x7f94c602bf10> 
[ 22 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6146ad0> 
[ 23 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5ff7710> 
[ 24 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6155d90> 
[ 25 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5f889d0> 
[ 26 ] <keras.layers.core.Activation object at 0x7f94c6119e90> 
[ 27 ] <keras.layers.core.Activation object at 0x7f94c5fbaed0> 
[ 28 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c5e88850> 
[ 29 ] <keras.layers.convolutional.Conv2D object at 0x7f94c62329d0> 
[ 30 ] <keras.layers.convolutional.Conv2D object at 0x7f94c60d4990> 
[ 31 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5f77b50> 
[ 32 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5e962d0> 
[ 33 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6232350> 
[ 34 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c60e6c50> 
[ 35 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5f77750> 
[ 36 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5e5a890> 
[ 37 ] <keras.layers.core.Activation object at 0x7f94c619cf90> 
[ 38 ] <keras.layers.core.Activation object at 0x7f94c60ac8d0> 
[ 39 ] <keras.layers.core.Activation object at 0x7f94c5ec8b10> 
[ 40 ] <keras.layers.core.Activation object at 0x7f94c5e0ca90> 
[ 41 ] <keras.layers.merge.Concatenate object at 0x7f94c5e24890> 
[ 42 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5c4f990> 
[ 43 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5c4f590> 
[ 44 ] <keras.layers.core.Activation object at 0x7f94c5c22310> 
[ 45 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5db9910> 
[ 46 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5bde710> 
[ 47 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5d49ad0> 
[ 48 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5bde310> 
[ 49 ] <keras.layers.core.Activation object at 0x7f94c5d0df10> 
[ 50 ] <keras.layers.core.Activation object at 0x7f94c5bb3750> 
[ 51 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c5a81c50> 
[ 52 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5e39a50> 
[ 53 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5cc9690> 
[ 54 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5b6fe90> 
[ 55 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5af5dd0> 
[ 56 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5e19a10> 
[ 57 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5cdd850> 
[ 58 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5b6fed0> 
[ 59 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5a44850> 
[ 60 ] <keras.layers.core.Activation object at 0x7f94c5d9eb10> 
[ 61 ] <keras.layers.core.Activation object at 0x7f94c5c90c50> 
[ 62 ] <keras.layers.core.Activation object at 0x7f94c5ac54d0> 
[ 63 ] <keras.layers.core.Activation object at 0x7f94c5a66710> 
[ 64 ] <keras.layers.merge.Concatenate object at 0x7f94c5a157d0> 
[ 65 ] <keras.layers.convolutional.Conv2D object at 0x7f94c589aad0> 
[ 66 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5854350> 
[ 67 ] <keras.layers.core.Activation object at 0x7f94c581b390> 
[ 68 ] <keras.layers.convolutional.Conv2D object at 0x7f94c59a4850> 
[ 69 ] <keras.layers.convolutional.Conv2D object at 0x7f94c57d5b10> 
[ 70 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c59a4450> 
[ 71 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c57e9cd0> 
[ 72 ] <keras.layers.core.Activation object at 0x7f94c596ae90> 
[ 73 ] <keras.layers.core.Activation object at 0x7f94c57aed90> 
[ 74 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c56fb610> 
[ 75 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5a153d0> 
[ 76 ] <keras.layers.convolutional.Conv2D object at 0x7f94c59365d0> 
[ 77 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5769890> 
[ 78 ] <keras.layers.convolutional.Conv2D object at 0x7f94c56eec50> 
[ 79 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5a237d0> 
[ 80 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c59361d0> 
[ 81 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c577aa50> 
[ 82 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c56bd210> 
[ 83 ] <keras.layers.core.Activation object at 0x7f94c5995090> 
[ 84 ] <keras.layers.core.Activation object at 0x7f94c588b610> 
[ 85 ] <keras.layers.core.Activation object at 0x7f94c56c1e90> 
[ 86 ] <keras.layers.core.Activation object at 0x7f94c566edd0> 
[ 87 ] <keras.layers.merge.Concatenate object at 0x7f94c560dbd0> 
[ 88 ] <keras.layers.convolutional.Conv2D object at 0x7f94c559ec50> 
[ 89 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c55ae7d0> 
[ 90 ] <keras.layers.core.Activation object at 0x7f94c5573250> 
[ 91 ] <keras.layers.convolutional.Conv2D object at 0x7f94c552d9d0> 
[ 92 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c54c0b90> 
[ 93 ] <keras.layers.core.Activation object at 0x7f94c5484fd0> 
[ 94 ] <keras.layers.convolutional.Conv2D object at 0x7f94c561dd90> 
[ 95 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5441750> 
[ 96 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c567fd50> 
[ 97 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5452910> 
[ 98 ] <keras.layers.core.Activation object at 0x7f94c5581e50> 
[ 99 ] <keras.layers.core.Activation object at 0x7f94c5408d10> 
[ 100 ] <keras.layers.pooling.MaxPooling2D object at 0x7f94c53c6a50> 
[ 101 ] <keras.layers.merge.Concatenate object at 0x7f94c53d5a50> 
[ 102 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5196690> 
[ 103 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c51ab850> 
[ 104 ] <keras.layers.core.Activation object at 0x7f94c515dc50> 
[ 105 ] <keras.layers.convolutional.Conv2D object at 0x7f94c511b990> 
[ 106 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c511b590> 
[ 107 ] <keras.layers.core.Activation object at 0x7f94c50ee310> 
[ 108 ] <keras.layers.convolutional.Conv2D object at 0x7f94c53743d0> 
[ 109 ] <keras.layers.convolutional.Conv2D object at 0x7f94c50ae710> 
[ 110 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5366e10> 
[ 111 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c50ae310> 
[ 112 ] <keras.layers.core.Activation object at 0x7f94c5337410> 
[ 113 ] <keras.layers.core.Activation object at 0x7f94c5001750> 
[ 114 ] <keras.layers.convolutional.Conv2D object at 0x7f94c52f4b90> 
[ 115 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4fc2e90> 
[ 116 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5284d50> 
[ 117 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4fc2ed0> 
[ 118 ] <keras.layers.core.Activation object at 0x7f94c524b190> 
[ 119 ] <keras.layers.core.Activation object at 0x7f94c4f924d0> 
[ 120 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c4ed3f50> 
[ 121 ] <keras.layers.convolutional.Conv2D object at 0x7f94c53d54d0> 
[ 122 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5204910> 
[ 123 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4f50c50> 
[ 124 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4ede9d0> 
[ 125 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c53983d0> 
[ 126 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5217ad0> 
[ 127 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4f5f7d0> 
[ 128 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4ea6550> 
[ 129 ] <keras.layers.core.Activation object at 0x7f94c5348290> 
[ 130 ] <keras.layers.core.Activation object at 0x7f94c51dbf10> 
[ 131 ] <keras.layers.core.Activation object at 0x7f94c4f23250> 
[ 132 ] <keras.layers.core.Activation object at 0x7f94c4e47450> 
[ 133 ] <keras.layers.merge.Concatenate object at 0x7f94c4e73550> 
[ 134 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4c388d0> 
[ 135 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4bcaa90> 
[ 136 ] <keras.layers.core.Activation object at 0x7f94c4b8eed0> 
[ 137 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4b47650> 
[ 138 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4b5d810> 
[ 139 ] <keras.layers.core.Activation object at 0x7f94c4b0cc10> 
[ 140 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4d85610> 
[ 141 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4ace950> 
[ 142 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4d85210> 
[ 143 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4ace550> 
[ 144 ] <keras.layers.core.Activation object at 0x7f94c4d4ac50> 
[ 145 ] <keras.layers.core.Activation object at 0x7f94c4aa02d0> 
[ 146 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4d25390> 
[ 147 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4a5c6d0> 
[ 148 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4d16dd0> 
[ 149 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4a5c2d0> 
[ 150 ] <keras.layers.core.Activation object at 0x7f94c4ced3d0> 
[ 151 ] <keras.layers.core.Activation object at 0x7f94c4a31710> 
[ 152 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c4904c10> 
[ 153 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4e03290> 
[ 154 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4ca9b50> 
[ 155 ] <keras.layers.convolutional.Conv2D object at 0x7f94c49fe450> 
[ 156 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4973f90> 
[ 157 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4e36e90> 
[ 158 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4cb9d10> 
[ 159 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c49eee90> 
[ 160 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c48c6810> 
[ 161 ] <keras.layers.core.Activation object at 0x7f94c4de8a10> 
[ 162 ] <keras.layers.core.Activation object at 0x7f94c4c76dd0> 
[ 163 ] <keras.layers.core.Activation object at 0x7f94c4944490> 
[ 164 ] <keras.layers.core.Activation object at 0x7f94c48e66d0> 
[ 165 ] <keras.layers.merge.Concatenate object at 0x7f94c4893790> 
[ 166 ] <keras.layers.convolutional.Conv2D object at 0x7f94c465aad0> 
[ 167 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c466ac90> 
[ 168 ] <keras.layers.core.Activation object at 0x7f94c462ed50> 
[ 169 ] <keras.layers.convolutional.Conv2D object at 0x7f94c45e7850> 
[ 170 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c45fba10> 
[ 171 ] <keras.layers.core.Activation object at 0x7f94c45aee10> 
[ 172 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4824810> 
[ 173 ] <keras.layers.convolutional.Conv2D object at 0x7f94c457b5d0> 
[ 174 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4824410> 
[ 175 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c450f790> 
[ 176 ] <keras.layers.core.Activation object at 0x7f94c47e9e50> 
[ 177 ] <keras.layers.core.Activation object at 0x7f94c453eb90> 
[ 178 ] <keras.layers.convolutional.Conv2D object at 0x7f94c47b8590> 
[ 179 ] <keras.layers.convolutional.Conv2D object at 0x7f94c44fd8d0> 
[ 180 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c47b8190> 
[ 181 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c44fd4d0> 
[ 182 ] <keras.layers.core.Activation object at 0x7f94c470a5d0> 
[ 183 ] <keras.layers.core.Activation object at 0x7f94c4451250> 
[ 184 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c43b03d0> 
[ 185 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4893390> 
[ 186 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4719a90> 
[ 187 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4411650> 
[ 188 ] <keras.layers.convolutional.Conv2D object at 0x7f94c43a0490> 
[ 189 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c48a1790> 
[ 190 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c46d2310> 
[ 191 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4411250> 
[ 192 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4375410> 
[ 193 ] <keras.layers.core.Activation object at 0x7f94c4815050> 
[ 194 ] <keras.layers.core.Activation object at 0x7f94c469c350> 
[ 195 ] <keras.layers.core.Activation object at 0x7f94c43d6c90> 
[ 196 ] <keras.layers.core.Activation object at 0x7f94c43220d0> 
[ 197 ] <keras.layers.merge.Concatenate object at 0x7f94c4331990> 
[ 198 ] <keras.layers.convolutional.Conv2D object at 0x7f94c40fbc90> 
[ 199 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4089810> 
[ 200 ] <keras.layers.core.Activation object at 0x7f94c404c290> 
[ 201 ] <keras.layers.convolutional.Conv2D object at 0x7f94c400aa10> 
[ 202 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c401bbd0> 
[ 203 ] <keras.layers.core.Activation object at 0x7f94c3fdff90> 
[ 204 ] <keras.layers.convolutional.Conv2D object at 0x7f94c42429d0> 
[ 205 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3f99790> 
[ 206 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c42425d0> 
[ 207 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3fac950> 
[ 208 ] <keras.layers.core.Activation object at 0x7f94c4215050> 
[ 209 ] <keras.layers.core.Activation object at 0x7f94c3f60d50> 
[ 210 ] <keras.layers.convolutional.Conv2D object at 0x7f94c41d3750> 
[ 211 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3f1ea90> 
[ 212 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c41d3350> 
[ 213 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3f1e690> 
[ 214 ] <keras.layers.core.Activation object at 0x7f94c41a8790> 
[ 215 ] <keras.layers.core.Activation object at 0x7f94c3eefad0> 
[ 216 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c3dc1590> 
[ 217 ] <keras.layers.convolutional.Conv2D object at 0x7f94c4e73150> 
[ 218 ] <keras.layers.convolutional.Conv2D object at 0x7f94c41674d0> 
[ 219 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3ead810> 
[ 220 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3dd0110> 
[ 221 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c4331590> 
[ 222 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c41670d0> 
[ 223 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3ead410> 
[ 224 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3d955d0> 
[ 225 ] <keras.layers.core.Activation object at 0x7f94c4294190> 
[ 226 ] <keras.layers.core.Activation object at 0x7f94c413d510> 
[ 227 ] <keras.layers.core.Activation object at 0x7f94c3e74e50> 
[ 228 ] <keras.layers.core.Activation object at 0x7f94c3d44290> 
[ 229 ] <keras.layers.merge.Concatenate object at 0x7f94c3d5f5d0> 
[ 230 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3c76950> 
[ 231 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3c76550> 
[ 232 ] <keras.layers.core.Activation object at 0x7f94c3bcb2d0> 
[ 233 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3b886d0> 
[ 234 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3b882d0> 
[ 235 ] <keras.layers.core.Activation object at 0x7f94c3b57710> 
[ 236 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3d71790> 
[ 237 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3b28450> 
[ 238 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3d53750> 
[ 239 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3b19e90> 
[ 240 ] <keras.layers.core.Activation object at 0x7f94c3cd4150> 
[ 241 ] <keras.layers.core.Activation object at 0x7f94c3aea490> 
[ 242 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3cf0650> 
[ 243 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3aa6c10> 
[ 244 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3c85810> 
[ 245 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3ab6dd0> 
[ 246 ] <keras.layers.core.Activation object at 0x7f94c3cb6c10> 
[ 247 ] <keras.layers.core.Activation object at 0x7f94c3a00210> 
[ 248 ] <keras.layers.pooling.MaxPooling2D object at 0x7f94c3a39990> 
[ 249 ] <keras.layers.merge.Concatenate object at 0x7f94c3a2dfd0> 
[ 250 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3790d50> 
[ 251 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c37f4d10> 
[ 252 ] <keras.layers.core.Activation object at 0x7f94c3775e50> 
[ 253 ] <keras.layers.convolutional.Conv2D object at 0x7f94c394c8d0> 
[ 254 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3711c50> 
[ 255 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c394c4d0> 
[ 256 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c37217d0> 
[ 257 ] <keras.layers.core.Activation object at 0x7f94c3920250> 
[ 258 ] <keras.layers.core.Activation object at 0x7f94c36e5250> 
[ 259 ] <keras.layers.convolutional.Conv2D object at 0x7f94c38df650> 
[ 260 ] <keras.layers.convolutional.Conv2D object at 0x7f94c387e3d0> 
[ 261 ] <keras.layers.convolutional.Conv2D object at 0x7f94c36a29d0> 
[ 262 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3633750> 
[ 263 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c35b7650> 
[ 264 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3983890> 
[ 265 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c38df250> 
[ 266 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3870e10> 
[ 267 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c36b4b90> 
[ 268 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c35c6910> 
[ 269 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3545050> 
[ 270 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3992750> 
[ 271 ] <keras.layers.core.Activation object at 0x7f94c38a2c90> 
[ 272 ] <keras.layers.core.Activation object at 0x7f94c37c2410> 
[ 273 ] <keras.layers.core.Activation object at 0x7f94c367afd0> 
[ 274 ] <keras.layers.core.Activation object at 0x7f94c35f8d10> 
[ 275 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3508a90> 
[ 276 ] <keras.layers.core.Activation object at 0x7f94c39bfdd0> 
[ 277 ] <keras.layers.merge.Concatenate object at 0x7f94c3780b90> 
[ 278 ] <keras.layers.merge.Concatenate object at 0x7f94c35b7a50> 
[ 279 ] <keras.layers.core.Activation object at 0x7f94c353c110> 
[ 280 ] <keras.layers.merge.Concatenate object at 0x7f94c34e9390> 
[ 281 ] <keras.layers.convolutional.Conv2D object at 0x7f94c32b2890> 
[ 282 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3294850> 
[ 283 ] <keras.layers.core.Activation object at 0x7f94c3211990> 
[ 284 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3479410> 
[ 285 ] <keras.layers.convolutional.Conv2D object at 0x7f94c322d790> 
[ 286 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3466e50> 
[ 287 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c323f950> 
[ 288 ] <keras.layers.core.Activation object at 0x7f94c343c450> 
[ 289 ] <keras.layers.core.Activation object at 0x7f94c31f6d50> 
[ 290 ] <keras.layers.convolutional.Conv2D object at 0x7f94c33f9bd0> 
[ 291 ] <keras.layers.convolutional.Conv2D object at 0x7f94c330c950> 
[ 292 ] <keras.layers.convolutional.Conv2D object at 0x7f94c31b3a90> 
[ 293 ] <keras.layers.convolutional.Conv2D object at 0x7f94c30c6810> 
[ 294 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c3055190> 
[ 295 ] <keras.layers.convolutional.Conv2D object at 0x7f94c34dadd0> 
[ 296 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3389d90> 
[ 297 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c331fb10> 
[ 298 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c31b3690> 
[ 299 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c30c6410> 
[ 300 ] <keras.layers.convolutional.Conv2D object at 0x7f94c303c110> 
[ 301 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c34da050> 
[ 302 ] <keras.layers.core.Activation object at 0x7f94c33501d0> 
[ 303 ] <keras.layers.core.Activation object at 0x7f94c32e1f50> 
[ 304 ] <keras.layers.core.Activation object at 0x7f94c3106ad0> 
[ 305 ] <keras.layers.core.Activation object at 0x7f94c308be50> 
[ 306 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c303ca90> 
[ 307 ] <keras.layers.core.Activation object at 0x7f94c344eed0> 
[ 308 ] <keras.layers.merge.Concatenate object at 0x7f94c329e6d0> 
[ 309 ] <keras.layers.merge.Concatenate object at 0x7f94c3055590> 
[ 310 ] <keras.layers.core.Activation object at 0x7f94c2fdd5d0> 
[ 311 ] <keras.layers.merge.Concatenate object at 0x7f94c2ff7910> 
[ 312 ] <keras.layers.pooling.GlobalAveragePooling2D object at 0x7f94c2e41a10> 
[ 313 ] <keras.layers.core.Dense object at 0x7f94c2e41a90> 
[ 314 ] <keras.layers.core.Dense object at 0x7f94c2e41110>