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| author | nunzip <np.scarh@gmail.com> | 2019-03-14 17:26:01 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2019-03-14 17:26:01 +0000 |
| commit | 2a07bffbcc52ed3cca9e6c49ebed24a91ddd6ec6 (patch) | |
| tree | b275bbf18c5cefa92cfcc56793bcc997c846effe | |
| parent | 35decb12e21819c00b94d0abf8a8eccd521f87dd (diff) | |
| download | e4-gan-2a07bffbcc52ed3cca9e6c49ebed24a91ddd6ec6.tar.gz e4-gan-2a07bffbcc52ed3cca9e6c49ebed24a91ddd6ec6.tar.bz2 e4-gan-2a07bffbcc52ed3cca9e6c49ebed24a91ddd6ec6.zip | |
Revert to standard size
| -rwxr-xr-x | ncdcgan.py | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -67,7 +67,7 @@ class nCDCGAN(): def build_generator(self, noise, con): - n_channel = 128 + n_channel = 64 kernel_size = 3 con1 = Dense(n_channel, activation='tanh')(con) #model settings @@ -106,7 +106,7 @@ class nCDCGAN(): def build_discriminator(self, img, con): - n_channel = 128 + n_channel = 64 kernel_size = 3 con1 = Dense(n_channel, activation='tanh')(con) #model settings |