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 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
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
May 2021 |
Authors: |
Joe Papa
|
Dimensions: |
178 x 108 x 20mm (L x W x T) |
Format: |
Paperback
|
Pages: |
310 |
ISBN-13: |
978-1-4920-9000-7 |
Categories: |
Books
|
LSN: |
1-4920-9000-X |
Barcode: |
9781492090007 |
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