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Make Your First GAN Using PyTorch

Make Your First GAN Using PyTorch

This course is an introduction to Generative Adversarial Networks (GANs) and a practical step-by-step tutorial on making your own with PyTorch.

Key Skills 

Pytorch basics
 Making a neural network with PyTorch
 Refining the neural network output
 Basics of CUDA
 The basic idea of GAN
 Learning a simple 1010 pattern using GAN
 Learning handwritten digits using GAN
 Learning human faces using GAN
 Convolutional GANs
 Conditional GANs

Course Overview 

This course is an introduction to Generative Adversarial Networks (GANs) and a practical step-by-step tutorial on making your own with PyTorch. Through this course, you will learn how to build GANs with industry-standard tools.

In the first section, you will dive into PyTorch and refresh your understanding of neural networks by building a simple image classifier. In the second section of this course, you will explore the idea of adversarial training and build progressively more sophisticated GANs; first by learning a simple 1010 pattern, then monochrome images of handwritten digits, and finally full-color images of faces.

The third, and last section, extends the core GAN concept, applying it to convolutional neural networks, and developing a conditional GAN for generating data of the desired class.

By the end of this course, you will have a solid understanding of how to build GANs for your machine learning projects.

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