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PyTorch Pocket Reference (Building and Deploying Deep Learning Models)
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Product Details
Author:
Joe Papa
Format:
Paperback
Pages:
307
Publisher:
O'Reilly Media (June 15, 2021)
Language:
English
ISBN-13:
9781492090007
ISBN-10:
149209000X
Dimensions:
4.25" x 7"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
Folder:
TWO RIVERS
List Price:
$29.99
As low as:
$25.79
Publisher Identifier:
P-PER
Discount Code:
C
Case Pack:
26
Country of Origin:
United States
Pub Discount:
60
Weight:
8oz
Imprint:
O'Reilly Media
Overview
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 developmentâ??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
