PyTorch Pocket Reference

PyTorch Pocket Reference

by Papa, Joe

Type Book
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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 c…

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Title Statements

  • Full title :PyTorch Pocket Reference / Papa, Joe.

Summary

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, GCP, or Azure, and your ML models to mobile and edge devices. Learn basic PyTorch syntax and design patterns Create custom models and data transforms Train and deploy models using a GPU and TPU Train and test a deep learning classifier Accelerate training using optimization and distributed training Access useful PyTorch libraries and the PyTorch ecosystem.

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Edition Statements

  • Publication Date:2021.
  • Edition:1st edition

Publication Statements

The Physical Object

  • Description:1 online resource (265 pages)

Edition Identifiers

  • ISBN:9781492089971, 1492089974
  • oclc:on1242403156

Writers

Papa, Joe

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