PyTorch Pocket Reference

Joe Papa

ISBN 10: 149209000X ISBN 13: 9781492090007

Editore: O'Reilly Media, 2021

Lingua: Inglese

Condizione: Nuovo Brossura

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Titolo

PyTorch Pocket Reference

Editore

O'Reilly Media

Data di pubblicazione

2021

Lingua

Inglese

ISBN 10

149209000X

ISBN 13

9781492090007

Rilegatura

PAP

Condizione

New

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Descrizione articolo

Riassunto

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 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

Informazioni sull?autore

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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