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thanks you code , when i read the code , the discriminator use sigmoid output, but you also return D_real_logits ,and when caluate the loss real or fake ,you use D_real_logits or D_fake_logits before sigmoid output ; why you don't use the D_real or D_fake ,the sigmoid ouput? # get loss for discriminator d_loss_real = - tf.reduce_mean(D_real_logits) d_loss_fake = tf.reduce_mean(D_fake_logits)
thank ,can you help me?
The text was updated successfully, but these errors were encountered:
thanks you code , when i read the code , the discriminator use sigmoid output, but you also return D_real_logits ,and when caluate the loss real or fake ,you use D_real_logits or D_fake_logits before sigmoid output ; why you don't use the D_real or D_fake ,the sigmoid ouput?
# get loss for discriminator d_loss_real = - tf.reduce_mean(D_real_logits) d_loss_fake = tf.reduce_mean(D_fake_logits)
thank ,can you help me?
The text was updated successfully, but these errors were encountered: