Building your first GAN in Python
Offered By: Coursera Project Network via Coursera
Course Description
Overview
By the end of this project, you will have learned the basics behind designing and coding Generative Adversarial Networks, or GANs. This project will familiarize you with concepts and techniques at work behind the scenes in GANs and deepfakes. The methods you will learn in the course of this project will enable you to build Generative Adversarial Networks for any potential purpose and provide valuable experience in your Machine Learning and Artificial Intelligence development journey.
Python experience is heavily recommended.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Python experience is heavily recommended.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Taught by
Charles Ivan Niswander II
Related Courses
Media Literacy in the Age of DeepfakesMassachusetts Institute of Technology via Independent Threat Modeling: Repudiation in Depth
LinkedIn Learning Understanding the Impact of Deepfake Videos
LinkedIn Learning