Joe Papa

(Author)

Pytorch Pocket Reference: Building and Deploying Deep Learning ModelsPaperback, 15 June 2021

Pytorch Pocket Reference: Building and Deploying Deep Learning Models
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Print Length
307 pages
Language
English
Publisher
O'Reilly Media
Date Published
15 Jun 2021
ISBN-10
149209000X
ISBN-13
9781492090007

Description

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

Product Details

Author:
Joe Papa
Book Format:
Paperback
Country of Origin:
US
Date Published:
15 June 2021
Dimensions:
17.78 x 10.8 x 1.65 cm
ISBN-10:
149209000X
ISBN-13:
9781492090007
Language:
English
Pages:
307
Publisher:
Weight:
226.8 gm

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