다음은 생성자 네트워크에 대한 출력 결과입니다.
Model: "sequential"
__________________________________________________________________
Layer (type) Output Shape Param #
==================================================================
dense (Dense) (None, 12544) 1266944
__________________________________________________________________
leaky_re_lu (LeakyReLU) (None, 12544) 0
__________________________________________________________________
reshape (Reshape) (None, 7, 7, 256) 0
__________________________________________________________________
conv2d_transpose (Conv2DTran (None, 7, 7, 128) 819328
__________________________________________________________________
batch_normalization (BatchNo (None, 7, 7, 128) 512
__________________________________________________________________
leaky_re_lu_1 (LeakyReLU) (None, 7, 7, 128) 0
__________________________________________________________________
dropout (Dropout) (None, 7, 7, 128) 0
__________________________________________________________________
conv2d_transpose_1 (Conv2DTr (None, 14, 14, 64) 204864
__________________________________________________________________
batch_normalization_1 (Batch (None, 14, 14, 64) 256
__________________________________________________________________
leaky_re_lu_2 (LeakyReLU) (None, 14, 14, 64) 0
__________________________________________________________________
conv2d_transpose_2 (Conv2DTr (None, 28, 28, 1) 1601
==================================================================
Total params: 2,293,505
Trainable params: 2,293,121
Non-trainable params: 384
__________________________________________________________________
생성자 네트워크가 완료되었고, 이제 판별자 네트워크를 생성해 보겠습니다.