Methods used in the generator class for a DCGAN.

generator_optimiser_loss.py

# this should be placed outside the class, as it will be used by the discriminator too
cross_entropy = tf.keras.losses.BinaryCrossentropy(from_logits=True)

# the following are contained within the Generator class
def optimiser(self, learning_rate):
    self.opt = tf.optimizers.Adam(learning_rate)

def loss(self, fake_preds):
    # calculate the loss with binary cross-entropy
    fake_loss = cross_entropy(tf.ones_like(fake_preds), fake_preds)
    # return the fake predictions loss
    return fake_loss