Introduction to Generative Adversarial Networks (GANs)

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Martin Kemka

29:32

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1. Introduction

001. GANs Generating new worlds.mp4

00:30

002. What you should know.mp4

00:18

2. Origin and Examples of GANs

003. Introduction to GANs.mp4

01:42

004. Origin Where did they come from.mp4

01:16

005. How were they developed.mp4

02:04

006. Early examples of GANs.mp4

02:09

3. Architecture and Training Methods

007. Model architecture.mp4

02:48

008. Training method.mp4

01:49

009. How the different models learn.mp4

01:27

010. Final model output.mp4

01:34

4. Training a Model

011. Create a basic GAN.mp4

06:24

012. Start training and compare results.mp4

03:26

5. The Future of Generative AI

013. Where generative AI has moved to.mp4

01:46

014. Where generative AI will move to.mp4

02:19

Description

Recently, you’ve probably seen the impacts of large-scale generative art, generative text, and generative movies. Do you want to understand the basics of how this type of AI works? In this course, Martin Kemka, founder of the machine learning production house Northraine, introduces you to a very important component in the world of generative AI: Generative Adversarial Networks (GANs). Learn about the history of GANs, including where they came from and how they changed over the last decade. Find out how to train a model as you examine the model architecture and how the structure of multiple models works together. Get experience training a simple model in Jupyter Notebook. Plus, get insights on the current state of GAI and thoughts on where it’s going next.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

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Artificial Intelligence

Martin Kemka

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.