Description: Pytorch Pocket Reference : Building and Deploying Deep Learning Models, Paperback by Papa, Joe, ISBN 149209000X, ISBN-13 9781492090007, Brand New, Free shipping in the US
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 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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Book Title: Pytorch Pocket Reference : Building and Deploying Deep Learning M
Item Length: 7.1in
Item Height: 0.6in
Item Width: 4.4in
Author: Joe Papa
Publication Name: Pytorch Pocket Référence : Building and Deploying Deep Learning Models
Format: Trade Paperback
Language: English
Publisher: O'reilly, Incorporated
Publication Year: 2021
Type: Textbook
Item Weight: 10.2 Oz
Number of Pages: 307 Pages
