Learning PyTorch 2.0 (GitforGits)
Monday, 14 August 2023

This book is a guide to understanding and utilizing PyTorch 2.0 for deep learning applications. Matthew Rosch starts with an introduction to PyTorch, its various advantages over other deep learning frameworks, and its blend with CUDA for GPU acceleration. A substantial portion of the book is dedicated to illustrating how to build simple PyTorch models. This includes uploading and preparing datasets, defining the architecture, training, and predicting. It provides hands-on exercises with a real-world dataset. The book then dives into exploring PyTorch's nn module and gives a detailed comparison of different types of networks like Feedforward, RNN, GRU, CNN, and their combination.

<ASIN:8196288379>

 

Author: Matthew Rosch
Publisher: GitforGits
Date: July 2023
Pages: 146
ISBN: 978-8196288372
Print: 8196288379
Kindle: B0CB757XKX
Audience: Python developers interested in machine learning
Level: Intermediate/Advanced
Category: Artificial Intelligence

Topics include:

  • A comprehensive introduction to PyTorch and CUDA for deep learning.
  • Detailed understanding and operations on PyTorch tensors.
  • Step-by-step guide to building simple PyTorch models.
  • Insight into PyTorch's nn module and comparison of various network types.
  • Overview of the training process and exploration of PyTorch's optim module.
  • Understanding advanced concepts in PyTorch like model serialization and optimization.
  • Knowledge of distributed training in PyTorch.
  • Practical guide to using PyTorch's Quantization API.
  • Differences between TensorFlow 2.0 and PyTorch 2.0.
  • Guidance on migrating TensorFlow models to PyTorch using ONNX. 

For recommendations of books on Machine Learning see AI Books To Inspire You in our Programmer's Bookshelf section

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner


Testing JavaScript Applications

Author: Lucas da Costa
Publisher: Manning
Date: April 2021
Pages: 512
ISBN: 978-1617297915
Print: 1617297917
Audience: JavaScript developers
Level: Intermediate
Rating: 5
Reviewer: Ian Elliot
Testing the most web's fundamental language is clearly important...



Software Requirements Essentials

Authors: Karl Wiegers and Candase Hokanson
Publisher: Addison-Wesley
Pages: 208
ISBN: 9780138190286
Print: 0138190283
Kindle: B0BTLC53FF
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

This slim book looks at how to work out the requirements for a software project through twenty 'practices' that you c [ ... ]


More Reviews