THE FUTURE IS HERE

How to Generate Video – Intro to Deep Learning #15

Generative Adversarial Networks. It’s time. We’re going to use a Deep Convolutional GAN to generate images of the alien language from the movie arrival that we can then stitch together to animate into video. I’ll go over the architecture of a GAN and then we’ll implement one ourselves!

Code for this video (coding challenge included):
https://github.com/llSourcell/how_to_generate_video

Nemanja’s winning code:
https://github.com/Nemzy/video_generator

Niyas’ Runner up code:
https://github.com/niazangels/vae-pokedex

and his blog post:
https://hackernoon.com/how-to-autoencode-your-pok%C3%A9mon-6b0f5c7b7d97

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More Learning Resources:
http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow/
https://blog.openai.com/generative-models/
http://cs.stanford.edu/people/karpathy/gan/
https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Generative-Adversarial-Networks
http://wiseodd.github.io/techblog/2016/09/17/gan-tensorflow/
https://www.slideshare.net/ThomasDaSilvaPaula/a-very-gentle-introduction-to-generative-adversarial-networks-aka-gans-71614428
http://blog.evjang.com/2016/06/generative-adversarial-nets-in.html
https://medium.com/@awjuliani/generative-adversarial-networks-explained-with-a-classic-spongebob-squarepants-episode-54deab2fce39

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