Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

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

Jeff Heaton via YouTube

Overview

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.

Syllabus

Introduction
Conceptual Overview
Training
Code
Gradient Tape
Conclusion

Taught by

Jeff Heaton

Reviews

Start your review of Generating Faces with a Generative Adversarial Networks - GAN in Keras-Tensorflow 2.0

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.