PyTorch Pocket Reference (1)

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Synopsis
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 PyTorch code that covers every step of neural network development-from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, Google Cloud, or Azure and deploy your ML models to mobile and edge devices.Learn basic PyTorch syntax and design patternsCreate custom models and data transformsTrain and deploy models using a GPU and TPUTrain and test a deep learning classifierAccelerate training using optimization and distributed trainingAccess useful PyTorch libraries and the PyTorch ecosystem
Copyright:
2021

Book Details

Book Quality:
Publisher Quality
Book Size:
310 Pages
ISBN-13:
9781492089957
Related ISBNs:
9781492089964, 9781492089971, 9781492090007
Publisher:
O'Reilly Media
Date of Addition:
Copyrighted By:
Mobile Insights Technology Group, LLC.
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Business and Finance
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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