 Название: PyTorch Pocket Reference: Building and Deploying Deep Learning Models (Early Release)
Автор: Joe Papa
Издательство: O’Reilly Media, Inc
Год: 2020
Язык: английский
Формат: pdf, mobi, epub
Размер: 10.1 MB
PyTorch is one of the most popular deep learning Python libraries, and it is widely used by the AI research community. Many developers and researchers use PyTorch to accelerate deep learning research experimentation and prototyping. 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.
The PyTorch library is primarily developed by Facebook’s AI Research Lab (FAIR) and is free and open source software. It allows you to easily run array based calculations on a GPU and compute tape based auto-differentiation, two features required by most deep learning research. Although some use it for accelerated tensor computing, most use it for deep learning development.
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, GCP, or Azure, and 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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PyTorch Pocket Reference: Building and Deploying Deep Learning Models (Early Release) 
