THE FUTURE IS HERE

Generating Pokemon with a Generative Adversarial Network

Gotta train ’em all! Let’s generate some new pokemon using the power of Generative Adversarial Networks. This is a newer deep learning technique invented by a researcher & friend of mine named Ian Goodfellow. Yann LeCunn called it the coolest idea in the past 2 decades. I’ll explain how it works, some more recent improvements, then we’ll go through the code.

Code for this video:
https://github.com/llSourcell/Pokemon_GAN

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More learning resources:
https://www.oreilly.com/learning/generative-adversarial-networks-for-beginners
https://www.analyticsvidhya.com/blog/2017/06/introductory-generative-adversarial-networks-gans/
https://github.com/uclaacmai/Generative-Adversarial-Network-Tutorial
http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow/
https://www.slideshare.net/ThomasDaSilvaPaula/a-very-gentle-introduction-to-generative-adversarial-networks-aka-gans-71614428
https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f
https://medium.com/@awjuliani/generative-adversarial-networks-explained-with-a-classic-spongebob-squarepants-episode-54deab2fce39

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