Advanced Deep Learning with Keras

Chapter 4
Figure 4.3.4: The fake images generated by CGAN at different training steps when
conditioned with labels [0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5]
You're encouraged to run the trained generator model to see new synthesized
MNIST digits images:
python3 cgan-mnist-4.3.1.py --generator=cgan_mnist.h5
Alternatively, a specific digit (for example, 8) to be generated can also be requested:
cgan-mnist-4.3.1.py --generator=cgan_mnist.h5 --digit=8
With CGAN it's like having an agent that we can ask to draw digits similar
to how humans write digits. The key advantage of CGAN over DCGAN is that
we can specify which digit we want the agent to draw.
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