다음은 판별자 네트워크에 대한 실행 결과입니다.
Model: "sequential_1"
__________________________________________________________________
Layer (type) Output Shape Param #
==================================================================
conv2d (Conv2D) (None, 14, 14, 64) 1664
__________________________________________________________________
leaky_re_lu_3 (LeakyReLU) (None, 14, 14, 64) 0
__________________________________________________________________
dropout_1 (Dropout) (None, 14, 14, 64) 0
__________________________________________________________________
conv2d_1 (Conv2D) (None, 7, 7, 128) 204928
__________________________________________________________________
leaky_re_lu_4 (LeakyReLU) (None, 7, 7, 128) 0
__________________________________________________________________
dropout_2 (Dropout) (None, 7, 7, 128) 0
__________________________________________________________________
flatten (Flatten) (None, 6272) 0
__________________________________________________________________
dense_1 (Dense) (None, 1) 6273
==================================================================
Total params: 212,865
Trainable params: 212,865
Non-trainable params: 0
__________________________________________________________________