Created
October 26, 2020 13:20
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| cross_entropy = tf.keras.losses.BinaryCrossentropy(from_logits=True) | |
| def discriminator_loss(real_output, fake_output): | |
| real_loss = cross_entropy(tf.ones_like(real_output), real_output) | |
| fake_loss = cross_entropy(tf.zeros_like(fake_output), fake_output) | |
| total_loss = real_loss + fake_loss | |
| return total_loss | |
| def generator_loss(fake_output): | |
| return cross_entropy(tf.ones_like(fake_output), fake_output) | |
| generator_optimizer = tf.keras.optimizers.Adam(1.5e-4,0.5) | |
| discriminator_optimizer = tf.keras.optimizers.Adam(1.5e-4,0.5) |
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