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PyTorch Pocket Reference (Paperback)

Building And Deploying Deep Learning Models

Author:  Joe Papa

Joe Papa (Author)
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MRP: MRP: $7.14
Net Price: $6.43
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Leadtime to ship in days (default): Usually Ships in 12 Days
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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 developmentâ??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

 

 About the Author

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.

Features

Author:
Joe Papa
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition :
1
Leadtime to ship in days (default):
Usually Ships in 12 Days
Page:
312
Publisher:
Shroff/O'Reilly
Year:
2021

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TOC (PyTorch_Pocket_Reference.pdf, 147 Kb) [Download]

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