回答編集履歴
1
fix pooling layer
test
CHANGED
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@@ -2,7 +2,7 @@
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[ResNet](https://arxiv.org/abs/1512.03385)スタイル．ResNet18と同等．
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```Python
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from keras.layers import BatchNormalization, Activation, Add, Dropout
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from keras.layers import BatchNormalization, Activation, Add, Dropout, MaxPooling1D
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def ConvBNAct(filters, kernel_size, activation = "swish"):
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def apply(inputs):
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x = Conv1D(filters, kernel_size, padding = "same", kernel_initializer = "he_uniform")(inputs)
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@@ -25,12 +25,16 @@
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x = Concatenate(axis = -1)([inputs1, inputs2, inputs3])
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x = ResBlock(64, 7)(x)
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x = MaxPooling1D()(x)
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x = ResBlock(64, 5)(x)
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x = ResBlock(64, 3)(x)
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x = MaxPooling1D()(x)
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x = ResBlock(128, 3)(x)
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x = ResBlock(128, 3)(x)
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x = MaxPooling1D()(x)
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x = ResBlock(256, 3)(x)
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x = ResBlock(256, 3)(x)
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x = MaxPooling1D()(x)
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x = ResBlock(512, 3)(x)
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x = ResBlock(512, 3)(x)
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x = GlobalAveragePooling1D()(x)
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