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modify ch12 #67

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modify ch12 #67

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3 changes: 1 addition & 2 deletions ch12/autoencoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -111,8 +111,7 @@ def call(self, inputs, training=None):
x_hat = tf.reshape(x_hat, [-1, 28, 28])

# [b, 28, 28] => [2b, 28, 28]
x_concat = tf.concat([x, x_hat], axis=0)
x_concat = x_hat
x_concat = tf.concat([x[:50], x_hat[:50]], axis=0)
x_concat = x_concat.numpy() * 255.
x_concat = x_concat.astype(np.uint8)
save_images(x_concat, 'ae_images/rec_epoch_%d.png'%epoch)
2 changes: 1 addition & 1 deletion ch12/vae.py
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Expand Up @@ -102,7 +102,7 @@ def call(self, inputs, training=None):
model.build(input_shape=(4, 784))
optimizer = tf.optimizers.Adam(lr)

for epoch in range(1000):
for epoch in range(100):

for step, x in enumerate(train_db):

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