Make Your First GAN With PyTorch - Tariq Rashid
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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 basicsdeveloping your first PyTorch neural networkexploring neural network refinements to improve performanceintroduce CUDA GPU accelerationIt will introduce GANs, one of the most exciting areas of ma ... Full description
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Description
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
More Information
| Author | Tariq Rashid |
|---|---|
| Publisher | Amazon Digital Services LLC - Kdp |
| Release year | 2020 |
| Cover type | Softcover |
| EAN | 9798624728158 |