Accelerate Model Training with PyTorch 2.X
Build more accurate models by boosting the model training process
Published on 23. September 2024
230 pages
978-1-80512-191-6 (ISBN)
Description
No detailed description available for "Accelerate Model Training with PyTorch 2.X".
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
4,76 MB
ISBN-13
978-1-80512-191-6 (9781805121916)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Maicon Melo Alves
Accelerate Model Training with PyTorch 2.X
Build more accurate models by boosting the model training process
Book
04/2024
Packt Publishing
€51.40
Shipment within 3-4 weeks
Persons
Alves Maicon Melo :
Dr. Maicon Melo Alves is a senior system analyst and academic professor specialized in High Performance Computing (HPC) systems. In the last five years, he got interested in understanding how HPC systems have been used to leverage Artificial Intelligence applications. To better understand this topic, he completed in 2021 the MBA in Data Science of Pontificia Universidade Catolica of Rio de Janeiro (PUC-RIO). He has over 25 years of experience in IT infrastructure and, since 2006, he works with HPC systems at Petrobras, the Brazilian energy state company. He obtained his D.Sc. degree in Computer Science from the Fluminense Federal University (UFF) in 2018 and possesses three published books and publications in international journals of HPC area.
Dr. Maicon Melo Alves is a senior system analyst and academic professor specialized in High Performance Computing (HPC) systems. In the last five years, he got interested in understanding how HPC systems have been used to leverage Artificial Intelligence applications. To better understand this topic, he completed in 2021 the MBA in Data Science of Pontificia Universidade Catolica of Rio de Janeiro (PUC-RIO). He has over 25 years of experience in IT infrastructure and, since 2006, he works with HPC systems at Petrobras, the Brazilian energy state company. He obtained his D.Sc. degree in Computer Science from the Fluminense Federal University (UFF) in 2018 and possesses three published books and publications in international journals of HPC area.
Content
Table of Contents
Deconstructing the Training Process
Training Models Faster
Compiling the Model
Using Specialized Libraries
Building an Efficient Data Pipeline
Simplifying the Model
Adopting Mixed Precision
Distributed Training at a Glance
Training with Multiple CPUs
Training with Multiple GPUs
Training with Multiple Machines
Deconstructing the Training Process
Training Models Faster
Compiling the Model
Using Specialized Libraries
Building an Efficient Data Pipeline
Simplifying the Model
Adopting Mixed Precision
Distributed Training at a Glance
Training with Multiple CPUs
Training with Multiple GPUs
Training with Multiple Machines
