Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.
Einband grossPyTorch Pocket Reference
ISBN/GTIN

PyTorch Pocket Reference

E-BookPDFDRM AdobeE-Book
310 Seiten
Englisch
O'Reilly Mediaerschienen am11.05.2021
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 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 ecosystemmehr
Verfügbare Formate
TaschenbuchKartoniert, Paperback
EUR30,00
E-BookEPUBDRM AdobeE-Book
EUR26,49
E-BookPDFDRM AdobeE-Book
EUR26,49

Produkt

KlappentextThis 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 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 ecosystem
Details
Weitere ISBN/GTIN9781492089971
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format HinweisDRM Adobe
FormatE107
Erscheinungsjahr2021
Erscheinungsdatum11.05.2021
Seiten310 Seiten
SpracheEnglisch
Dateigrösse6941 Kbytes
Artikel-Nr.16399485
Rubriken
Genre9200