Advanced Deep Learning with Keras

Chapter 6
# call discriminator builder with 4 outputs: source, label,
# and 2 codes
discriminator = gan.discriminator(inputs, num_labels=num_labels, with_
codes=True)
The generator is created by:
# call generator with inputs, labels and codes as total inputs
# to generator
generator = gan.generator(inputs, image_size, labels=labels,
codes=[code1, code2])
Figure 6.1.4: The InfoGAN Keras model
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