Additional information
by Tariq Rashid (Author)
A gentle introduction to Generative Adversarial Networks, and a practical step-by-step tutorial on making your own with PyTorch.
This beginner-friendly guide will give you hands-on experience:
- learning PyTorch basics
- developing your first PyTorch neural network
- exploring neural network refinements to improve performance
- introduce CUDA GPU acceleration
- introducing the concept step-by-step, in plain English
- coding the simplest GAN to develop a good workflow
- growing our confidence with an MNIST GAN
- progressing to develop a GAN to generate full-colour human faces
- experiencing how GANs fail, exploring remedies and improving GAN performance and stability
- convolutional GANs for generated higher quality images
- conditional GANs for generated images of a desired class
- calculating ideal loss values for balanced GANs
- probability distributions and sampling them to create images
- carefully chosen examples illustrating how convolutions work
- a brief explanation of why gradient descent isn't suited to adversarial machine learning
Number of Pages: 208
Dimensions: 0.54 x 11 x 8.5 IN
Publication Date: March 14, 2020
