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Introduction to Generative Adversarial Networks (GANs)

Offered By: LinkedIn Learning

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Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Computer Vision Courses Unsupervised Learning Courses Neural Networks Courses Image Generation Courses Data Augmentation Courses

Course Description

Overview

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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

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