EPISODE · Nov 7, 2017 · 25 MIN
Generating Pokemon with a Generative Adversarial Network
from Siraj Raval
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 Please Subscribe! And like. And comment. That's what keeps me going. Want more inspiration & education? Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology 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 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Instagram: https://www.instagram.com/sirajraval/
What this episode covers
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 Please Subscribe! And like. And comment. That's what keeps me going. Want more inspiration & education? Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology 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 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Instagram: https://www.instagram.com/sirajraval/
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Generating Pokemon with a Generative Adversarial Network
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