Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Make Your First GAN With PyTorch

Make Your First GAN With PyTorch

Rashid, Tariq

Paperback

General Computers

ISBN13: 9798624728158
Publisher: Independently Published
Published: Mar 14 2020
Pages: 208
Weight: 1.50
Height: 0.54 Width: 8.50 Depth: 11.00
Language: English
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
It will introduce GANs, one of the most exciting areas of machine learning:
  • 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
Beyond the very basics, readers can explore more sophisticated GANs:
  • convolutional GANs for generated higher quality images
  • conditional GANs for generated images of a desired class
The appendices will be useful for students of machine learning as they explain themes often skipped over in many courses:
  • 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
All code is available publicly as open source on github.

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