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Pytorch Pocket Reference - by  Joe Papa (Paperback) - 1 of 1

Pytorch Pocket Reference - by Joe Papa (Paperback)

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About this item

Highlights

  • This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips.
  • About the Author: Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai.
  • 307 Pages
  • Computers + Internet, Intelligence (AI) & Semantics

Description



Book 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 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.

Dimensions (Overall): 7.0 Inches (H) x 4.25 Inches (W) x .65 Inches (D)
Weight: .5 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 307
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Publisher: O'Reilly Media
Format: Paperback
Author: Joe Papa
Language: English
Street Date: June 15, 2021
TCIN: 83598910
UPC: 9781492090007
Item Number (DPCI): 247-80-6610
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.65 inches length x 4.25 inches width x 7 inches height
Estimated ship weight: 0.5 pounds
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Q: What is the primary audience for this book?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book is intended for research scientists, machine learning engineers, and software developers.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: What experience does the author have in AI research?

submitted by AI Shopping Assistant - 25 days ago
  • A: Joe Papa has over 25 years of experience and has led AI research teams using PyTorch.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: How does the book help in learning PyTorch quickly?

submitted by AI Shopping Assistant - 25 days ago
  • A: It provides structured code examples and clear instructions to simplify the learning process for users.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: What topics are covered in this PyTorch reference?

submitted by AI Shopping Assistant - 25 days ago
  • A: It covers syntax, design patterns, code examples, model optimization, and deployment on various platforms.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: Which platforms are discussed for deploying machine learning models?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book discusses deploying ML models on AWS, Google Cloud, and Azure, along with mobile devices.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

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