다음은 배치 정규화가 적용된 모델의 실행 결과입니다.
Model: "sequential_1"
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Layer (type) Output Shape Param #
================================================================
dense_6 (Dense) (None, 64) 320
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batch_normalization (BatchNo (None, 64) 256
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dense_7 (Dense) (None, 128) 8320
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batch_normalization_1 (Batch (None, 128) 512
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dense_8 (Dense) (None, 128) 16512
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batch_normalization_2 (Batch (None, 128) 512
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dense_9 (Dense) (None, 64) 8256
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batch_normalization_3 (Batch (None, 64) 256
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dense_10 (Dense) (None, 64) 4160
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batch_normalization_4 (Batch (None, 64) 256
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dense_11 (Dense) (None, 3) 195
================================================================
Total params: 39,555
Trainable params: 38,659
Non-trainable params: 896
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