In this video, I give a complete guide to training your own generative adversarial network in python. I cover the following concepts:
1. Building Generator and Discriminator Network in Python
2. How to create custom training loop and loss functions for your GAN deep learning model.
3. How to finally generate realistic looking images using DCGAN or Deep Convolutional GAN .
4. We cover the MNIST dataset to generate realistic hand written digits in this tutorial.

Original Notebook by Tensorflow: https://www.tensorflow.org/tutorials/generative/dcgan
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