Generative Adversarial Networks for Style Transfer (LIVE)

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 Please Subscribe! And like. And comment. That's what keeps me going. 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 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/