Creating and Training a Generative Adversarial Networks (GAN) in Keras (7.2)
Updated TensorFlow 2.0 version here: https://www.youtube.com/watch?v=Nrsy6vF7rSw
Implement a Generative Adversarial Networks (GAN) from scratch in Python using TensorFlow and Keras. Using two Kaggle datasets that contain human face images, a GAN is trained that is able to generate human faces.
Code for This Video:
https://github.com/jeffheaton/present/blob/master/youtube/gan/gans_scratch.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/
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Patreon: https://www.patreon.com/jeffheaton
Updated TensorFlow 2.0 version here: https://www.youtube.com/watch?v=Nrsy6vF7rSw
Implement a Generative Adversarial Networks (GAN) from scratch in Python using TensorFlow and Keras. Using two Kaggle datasets that contain human face images, a GAN is trained that is able to generate human faces.
Code for This Video:
https://github.com/jeffheaton/present/blob/master/youtube/gan/gans_scratch.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/
** Follow Me on Social Media!
GitHub: https://github.com/jeffheaton
Twitter: https://twitter.com/jeffheaton
Instagram: https://www.instagram.com/jeffheatondotcom/
Discord: https://discord.gg/3bjthYv
Patreon: https://www.patreon.com/jeffheaton
