回答編集履歴
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fix answer
test
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@@ -1,12 +1,9 @@
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`x_true`を使うにはSubclassing APIを利用して，`keras.Model`の`compute_loss`をカスタマイズしてください．質問にある`custom_loss`を
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`x_true`を使うにはSubclassing APIを利用して，`keras.Model`の`compute_loss`をカスタマイズしてください．質問にある`custom_loss`を9行目で記述しました．
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```Python
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import tensorflow as tf
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from keras.layers import Input,
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from keras.layers import Input, Activation, Add, BatchNormalization, Conv2D
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from keras.layers import Dropout, BatchNormalization
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from keras.layers import Conv2D, Conv2DTranspose, AveragePooling2D
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from keras.models import Model
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from keras.callbacks import EarlyStopping, ReduceLROnPlateau, ModelCheckpoint
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class OriginalModel(Model):
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def compute_loss(self, x, y, y_pred, sample_weight):
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@@ -18,11 +15,9 @@
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def ResBlock(ch, k):
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def apply(inputs):
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x = Conv2D(ch, k, padding = "same", kernel_initializer = "he_uniform")(inputs)
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x = BatchNormalization()(x)
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x = Activation("swish")(x)
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x = BatchNormalization()(x)
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x = Conv2D(ch, k, padding = "same", kernel_initializer = "he_uniform")(x)
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x =
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x = Conv2D(ch, k, padding = "same")(x)
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x = BatchNormalization()(x)
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return Add()([x, inputs])
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return apply
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