Generative Adversarial Nets are such a rich topic for exploration, we're going to build one that was released just 2 months ago called the "DiscoGAN" that lets us transfer the style between 2 datasets. And I'll be building this using Tensorflow.
Code for this video:
https://github.com/llSourcell/GANS-for-style-transfer
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More learning resources:
https://arxiv.org/abs/1703.05192
https://github.com/SKTBrain/DiscoGAN
https://www.reddit.com/r/MachineLearning/comments/5zp0eu/r_170305192_learning_to_discover_crossdomain/
https://medium.com/@ageitgey/abusing-generative-adversarial-networks-to-make-8-bit-pixel-art-e45d9b96cee7
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