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Description
Pytorch Pocket Reference: Building And Deploying Deep Learning ModelsPytorch Pocket Reference: Building And Deploying Deep Learning Models 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
Pytorch Pocket Reference: Building And Deploying Deep Learning Models
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 ecosystem
SPECIFICATIONS:
Author:Joe Papa - Джо Папа
Publisher:
Language:English
Publication Date:2021
Number of pages:310 pst
Format:Paperback
Width:108 mm / 4,3'
Height:178 mm / 7'
Weight:160 g
ISBN:9781492090007
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