Creating and Training a Generative Adversarial Networks (GAN) in Keras (7.2) HD

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/t81_558_deep_learning/blob/master/t81_558_class_07_2_Keras_gan.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