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Merged
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Aug 5, 2019
Merged

Update dcgan.py #320

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4 changes: 2 additions & 2 deletions examples/3_NeuralNetworks/dcgan.py
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Original file line number Diff line number Diff line change
Expand Up @@ -82,7 +82,7 @@ def discriminator(x, reuse=False):
# Build Generator Network
gen_sample = generator(noise_input)

# Build 2 Discriminator Networks (one from noise input, one from generated samples)
# Build 2 Discriminator Networks (one from real image input, one from generated samples)
disc_real = discriminator(real_image_input)
disc_fake = discriminator(gen_sample, reuse=True)
disc_concat = tf.concat([disc_real, disc_fake], axis=0)
Expand Down Expand Up @@ -135,7 +135,7 @@ def discriminator(x, reuse=False):
z = np.random.uniform(-1., 1., size=[batch_size, noise_dim])

# Prepare Targets (Real image: 1, Fake image: 0)
# The first half of data fed to the generator are real images,
# The first half of data fed to the discriminator are real images,
# the other half are fake images (coming from the generator).
batch_disc_y = np.concatenate(
[np.ones([batch_size]), np.zeros([batch_size])], axis=0)
Expand Down