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 developmentafrom 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
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EAN: 9781492090007
UPC: 9781492090007
ISBN: 9781492090007
MPN: N/A
Book Title: Pytorch Pocket Reference: Building and Deploying D
Number of Pages: 307 Pages
Language: English
Publication Name: Pytorch Pocket Référence : Building and Deploying Deep Learning Models
Publisher: O'reilly Media, Incorporated
Publication Year: 2021
Item Height: 0.7 in
Subject: Data Modeling & Design, Intelligence (Ai) & Semantics, General, Data Processing
Type: Textbook
Item Weight: 8.7 Oz
Author: Joe Papa
Item Length: 7.2 in
Subject Area: Mathematics, Computers
Item Width: 7.7 in
Format: Trade Paperback
