Created
August 15, 2020 12:57
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| def discriminator_loss(real_output, fake_output): | |
| loss_object = tf.keras.losses.BinaryCrossentropy(from_logits=True) | |
| real_loss = loss_object(tf.ones_like(real_output), real_output) | |
| fake_loss = loss_object(tf.zeros_like(fake_output), fake_output) | |
| total_loss = real_loss + fake_loss | |
| return total_loss |
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