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summaryが表示されていなかったため編集しました
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```model.summary()の出力結果
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Model: "model_7"
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Layer (type) Output Shape Param #
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input_8 (InputLayer) [(None, 64, 128)] 0
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reshape_7 (Reshape) (None, 64, 128, 1) 0
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conv2d_49 (Conv2D) (None, 64, 128, 64) 640
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batch_normalization_49 (Bat (None, 64, 128, 64) 256
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chNormalization)
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activation_49 (Activation) (None, 64, 128, 64) 0
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conv2d_50 (Conv2D) (None, 64, 128, 32) 18464
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batch_normalization_50 (Bat (None, 64, 128, 32) 128
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chNormalization)
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activation_50 (Activation) (None, 64, 128, 32) 0
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max_pooling2d_14 (MaxPoolin (None, 32, 64, 32) 0
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g2D)
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conv2d_51 (Conv2D) (None, 32, 64, 16) 4624
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batch_normalization_51 (Bat (None, 32, 64, 16) 64
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chNormalization)
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activation_51 (Activation) (None, 32, 64, 16) 0
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max_pooling2d_15 (MaxPoolin (None, 16, 32, 16) 0
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g2D)
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dense_15 (Dense) (None, 16, 32, 512) 8704
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dropout_12 (Dropout) (None, 16, 32, 512) 0
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dense_16 (Dense) (None, 16, 32, 64) 32832
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dropout_13 (Dropout) (None, 16, 32, 64) 0
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conv2d_52 (Conv2D) (None, 16, 32, 16) 9232
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batch_normalization_52 (Bat (None, 16, 32, 16) 64
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chNormalization)
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activation_52 (Activation) (None, 16, 32, 16) 0
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up_sampling2d_14 (UpSamplin (None, 32, 64, 16) 0
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g2D)
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conv2d_53 (Conv2D) (None, 32, 64, 32) 4640
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batch_normalization_53 (Bat (None, 32, 64, 32) 128
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up_sampling2d_15 (UpSamplin (None, 64, 128, 32) 0
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g2D)
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conv2d_54 (Conv2D) (None, 64, 128, 64) 18496
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batch_normalization_54 (Bat (None, 64, 128, 64) 256
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activation_54 (Activation) (None, 64, 128, 64) 0
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conv2d_55 (Conv2D) (None, 64, 128, 1) 577
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batch_normalization_55 (Bat (None, 64, 128, 1) 4
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chNormalization)
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activation_55 (Activation) (None, 64, 128, 1) 0
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=================================================================
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Total params: 99,109
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Trainable params: 98,659
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Non-trainable params: 450
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_________________________________________________________________
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Layer (type) Output Shape Param #
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=================================================================
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input_8 (InputLayer) [(None, 64, 128)] 0
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reshape_7 (Reshape) (None, 64, 128, 1) 0
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conv2d_49 (Conv2D) (None, 64, 128, 64) 640
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batch_normalization_49 (Bat (None, 64, 128, 64) 256
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activation_49 (Activation) (None, 64, 128, 64) 0
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conv2d_50 (Conv2D) (None, 64, 128, 32) 18464
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batch_normalization_50 (Bat (None, 64, 128, 32) 128
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chNormalization)
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activation_50 (Activation) (None, 64, 128, 32) 0
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max_pooling2d_14 (MaxPoolin (None, 32, 64, 32) 0
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g2D)
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conv2d_51 (Conv2D) (None, 32, 64, 16) 4624
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batch_normalization_51 (Bat (None, 32, 64, 16) 64
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activation_51 (Activation) (None, 32, 64, 16) 0
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max_pooling2d_15 (MaxPoolin (None, 16, 32, 16) 0
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dense_15 (Dense) (None, 16, 32, 512) 8704
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dropout_12 (Dropout) (None, 16, 32, 512) 0
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dense_16 (Dense) (None, 16, 32, 64) 32832
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dropout_13 (Dropout) (None, 16, 32, 64) 0
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conv2d_52 (Conv2D) (None, 16, 32, 16) 9232
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conv2d_53 (Conv2D) (None, 32, 64, 32) 4640
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batch_normalization_53 (Bat (None, 32, 64, 32) 128
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activation_53 (Activation) (None, 32, 64, 32) 0
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conv2d_54 (Conv2D) (None, 64, 128, 64) 18496
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batch_normalization_54 (Bat (None, 64, 128, 64) 256
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conv2d_55 (Conv2D) (None, 64, 128, 1) 577
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batch_normalization_55 (Bat (None, 64, 128, 1) 4
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chNormalization)
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activation_55 (Activation) (None, 64, 128, 1) 0
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=================================================================
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Total params: 99,109
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Trainable params: 98,659
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Non-trainable params: 450
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_________________________________________________________________
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```
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よろしくお願いいたします。
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