Generating Faces with a Generative Adversarial Networks - GAN in Keras-Tensorflow 2.0

Learn to implement a Generative Adversarial Network (GAN) from scratch using Python, TensorFlow 2.0, and Keras in this 23-minute tutorial. Explore the process of training a GAN to generate human faces using two Kaggle datasets. Dive into the conceptual overview, training process, and code implementation, including the use of Gradient Tape. Access the accompanying Jupyter notebook for hands-on practice and further exploration of GAN development.

Introduction
Conceptual Overview
Training
Code
Gradient Tape
Conclusion