Introduction to Generative Adversarial Networks (GANs)

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Grab it

Gain a better understanding of Generative Adversarial Networks (GANs), how they are created, how they train, and how they are able to create new media.

Syllabus

Introduction

GANs: Generating new worlds
What you should know

1. Origin and Examples of GANs

Introduction to GANs
Origin: Where did they come from?
How were they developed?
Early examples of GANs

2. Architecture and Training Methods

Model architecture
Training method
How the different models learn
Final model output

3. Training a Model

Create a basic GAN
Start training and compare results

4. The Future of Generative AI

Where generative AI has moved to
Where generative AI will move to

Taught by

Martin Kemka

Reviews

4.8 rating at LinkedIn Learning based on 191 ratings

Start your review of Introduction to Generative Adversarial Networks (GANs)

Taught by

Generative Adversarial Networks (GANs)

Build Basic Generative Adversarial Networks (GANs)

Advanced Generative Adversarial Networks (GANs)

Apply Generative Adversarial Networks (GANs)

Build Better Generative Adversarial Networks (GANs)

Building Generative Adversarial Networks

100+ Free Online Courses and Webinars on Artificial Intelligence in Healthcare

AI for Everyone: 10 Best Free Artificial Intelligence Courses for 2024

10 Best Machine Learning Courses for 2024: Scikit-learn, TensorFlow, and more

10 Best Deep Learning Courses for 2024

110+ Hours of Free LinkedIn Learning Courses with Free Certification

Never Stop Learning.