July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Discriminator loss
The loss function is the same as for the vanilla GAN:
So, we can directly write the following:
D_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_logits_real, labels=tf.ones_like(D_logits_real)))D_loss_fake = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_logits_fake, labels=tf.zeros_like(D_logits_fake)))D_loss = D_loss_real + D_loss_fake
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