Generating Faces with a Generative Adversarial Networks (GAN) in Keras/Tensorflow 2.0 (7.2)
Updated for Tensorflow 2.0. 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/Subscribe:
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Видео Generating Faces with a Generative Adversarial Networks (GAN) in Keras/Tensorflow 2.0 (7.2) канала Jeff Heaton
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/Subscribe:
https://www.youtube.com/user/HeatonResearch
https://github.com/jeffheaton
https://twitter.com/jeffheaton
Support Me on Patreon: https://www.patreon.com/jeffheaton
Видео Generating Faces with a Generative Adversarial Networks (GAN) in Keras/Tensorflow 2.0 (7.2) канала Jeff Heaton
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