PyTorch Pocket Reference

PyTorch Pocket Reference
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 310
Release :
ISBN-10 : 9781492089971
ISBN-13 : 1492089974
Rating : 4/5 (71 Downloads)

Book Synopsis PyTorch Pocket Reference by : Joe Papa

Download or read book PyTorch Pocket Reference written by Joe Papa and published by "O'Reilly Media, Inc.". This book was released on 2021-05-11 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


PyTorch Pocket Reference Related Books

PyTorch Pocket Reference
Language: en
Pages: 310
Authors: Joe Papa
Categories: Computers
Type: BOOK - Published: 2021-05-11 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

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 provi
PyTorch Pocket Reference
Language: en
Pages: 265
Authors: Joe Papa
Categories:
Type: BOOK - Published: 2021-09-14 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

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 provi
Machine Learning Pocket Reference
Language: en
Pages: 320
Authors: Matt Harrison
Categories: Computers
Type: BOOK - Published: 2019-08-27 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers
Deep Learning with PyTorch
Language: en
Pages: 518
Authors: Luca Pietro Giovanni Antiga
Categories: Computers
Type: BOOK - Published: 2020-07-01 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference d
Programming PyTorch for Deep Learning
Language: en
Pages: 220
Authors: Ian Pointer
Categories: Computers
Type: BOOK - Published: 2019-09-20 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with