The loss function of the generator is given as follows:
Generator loss is implemented as:
G_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_logits_fake,
labels=tf.ones(dtype=tf.float32, shape=[batch_size, 1])))
The loss function of the generator is given as follows:
Generator loss is implemented as:
G_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_logits_fake,
labels=tf.ones(dtype=tf.float32, shape=[batch_size, 1])))