PyTorch Pocket Reference
building and deploying deep learning models
$61.70
- Paperback
310 pages
- Release Date
21 May 2021
Summary
PyTorch Pocket Reference: Your Fast Track to Deep Learning Mastery
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers.
Research scientists, machine learning engineers, and software developers will find clear, structured Py…
Book Details
| ISBN-13: | 9781492090007 |
|---|---|
| ISBN-10: | 149209000X |
| Author: | Joe Papa |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 310 |
| Release Date: | 21 May 2021 |
| Weight: | 254g |
| Dimensions: | 178mm x 108mm |
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About The Author
Joe Papa
Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai. He holds an MSEE and has led AI Research teams with PyTorch at Booz Allen and Perspecta Labs. Joe has mentored hundreds of Data Scientists and has taught 6,000+ students across the world on Udemy.
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