PyTorch Pocket Reference

Building and Deploying Deep Learning Models

Joe Papa (Autor)

Buch | Softcover

310 Seiten

2021
O'Reilly Media (Verlag)
978-1-4920-9000-7 (ISBN)

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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

Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai. He holds an MSEE and has led AI Research teams with PyTorch at Booz Allen and Perspecta Labs. Joe has mentored hundreds of Data Scientists and has taught 6,000+ students across the world on Udemy.

Erscheinungsdatum	25.05.2021
Verlagsort	Sebastopol
Sprache	englisch
Maße	108 x 178 mm
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Wirtschaft ► Betriebswirtschaft / Management
ISBN-10	1-4920-9000-X / 149209000X
ISBN-13	978-1-4920-9000-7 / 9781492090007
Zustand	Neuware