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/t81_558_deep_learning/blob/master/t81_558_class_07_2_Keras_gan.ipynb

Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/

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