Created
April 18, 2023 13:04
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gan_introduction
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| def discriminator_loss(real_output, fake_output): | |
| real_loss = tf.keras.losses.BinaryCrossentropy(from_logits=True)(tf.ones_like(real_output), real_output) | |
| fake_loss = tf.keras.losses.BinaryCrossentropy(from_logits=True)(tf.zeros_like(fake_output), fake_output) | |
| total_loss = real_loss + fake_loss | |
| return total_loss | |
| def generator_loss(fake_output): | |
| return tf.keras.losses.BinaryCrossentropy(from_logits=True)(tf.ones_like(fake_output), fake_output) |
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