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author | Vasil Zlatanov <v@skozl.com> | 2019-03-13 20:03:09 +0000 |
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committer | Vasil Zlatanov <v@skozl.com> | 2019-03-13 20:03:09 +0000 |
commit | 03f2c41ac69084cde7a61eb04303078e3c4785a7 (patch) | |
tree | 5ccbe9a5f3714385a76a6b26546fc84398098680 /dcgan.py | |
parent | 95de6b8e13302311ae2923818a8ac224b2c9fcc8 (diff) | |
download | e4-gan-03f2c41ac69084cde7a61eb04303078e3c4785a7.tar.gz e4-gan-03f2c41ac69084cde7a61eb04303078e3c4785a7.tar.bz2 e4-gan-03f2c41ac69084cde7a61eb04303078e3c4785a7.zip |
Update cdcgan with *better* one
Diffstat (limited to 'dcgan.py')
-rw-r--r-- | dcgan.py | 5 |
1 files changed, 2 insertions, 3 deletions
@@ -1,4 +1,5 @@ from __future__ import print_function, division +import tensorflow.keras as keras from keras.datasets import mnist from keras.layers import Input, Dense, Reshape, Flatten, Dropout from keras.layers import BatchNormalization, Activation, ZeroPadding2D @@ -75,7 +76,7 @@ class DCGAN(): model.add(Conv2D(self.channels, kernel_size=3, padding="same")) model.add(Activation("tanh")) - #model.summary() + model.summary() noise = Input(shape=(self.latent_dim,)) img = model(noise) @@ -187,8 +188,6 @@ class DCGAN(): fig.savefig("images/mnist_%d.png" % epoch) plt.close() -''' if __name__ == '__main__': dcgan = DCGAN() dcgan.train(epochs=4000, batch_size=32, save_interval=50) -''' |