Description: Further DetailsTitle: PyTorch Pocket ReferenceCondition: NewEAN: 9781492090007ISBN: 9781492090007Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 05/21/2021Item Height: 178mmItem Length: 108mmAuthor: Joe PapaLanguage: EnglishSubtitle: Building and Deploying Deep Learning ModelsDescription: 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 patternsCreate custom models and data transformsTrain and deploy models using a GPU and TPUTrain and test a deep learning classifierAccelerate training using optimization and distributed trainingAccess useful PyTorch libraries and the PyTorch ecosystemCountry/Region of Manufacture: USGenre: Computing & InternetTopic: Business & FinanceRelease Year: 2021 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
Price: 26.09 USD
Location: 60502
End Time: 2024-11-13T14:14:35.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Return policy details:
Book Title: PyTorch Pocket Reference
Title: PyTorch Pocket Reference
EAN: 9781492090007
ISBN: 9781492090007
Release Date: 05/21/2021
Release Year: 2021
Subtitle: Building and Deploying Deep Learning Models
Country/Region of Manufacture: US
Genre: Computing & Internet
Topic: Business & Finance
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
