Deep Learning with PyTorch Quick Start Guide
Learn to train and deploy neural network models in Python
Published on 23. September 2024
158 pages
978-1-78953-973-8 (ISBN)
Description
No detailed description available for "Deep Learning with PyTorch Quick Start Guide".
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
8,24 MB
ISBN-13
978-1-78953-973-8 (9781789539738)
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.
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Additional editions
David Julian
Deep Learning with PyTorch Quick Start Guide
Learn to train and deploy neural network models in Python
Book
12/2018
Packt Publishing
€39.00
Shipment within 3-4 weeks
Person
Julian David :
David Julian is a freelance technology consultant and educator. He has worked as a consultant for government, private, and community organizations on a variety of projects, including using machine learning to detect insect outbreaks in controlled agricultural environments (Urban Ecological Systems Ltd., Bluesmart Farms), designing and implementing event management data systems (Sustainable Industry Expo, Lismore City Council), and designing multimedia interactive installations (Adelaide University). He has also written Designing Machine Learning Systems With Python for Packt Publishing and was a technical reviewer for Python Machine Learning and Hands-On Data Structures and Algorithms with Python - Second Edition, published by Packt.
David Julian is a freelance technology consultant and educator. He has worked as a consultant for government, private, and community organizations on a variety of projects, including using machine learning to detect insect outbreaks in controlled agricultural environments (Urban Ecological Systems Ltd., Bluesmart Farms), designing and implementing event management data systems (Sustainable Industry Expo, Lismore City Council), and designing multimedia interactive installations (Adelaide University). He has also written Designing Machine Learning Systems With Python for Packt Publishing and was a technical reviewer for Python Machine Learning and Hands-On Data Structures and Algorithms with Python - Second Edition, published by Packt.
Content
Table of Contents
Introduction to PyTorch
Deep Learning Fundamentals
Computational Graphs and Linear Models
Convolutional Networks
Other NN Architectures
Getting the Most out of PyTorch
Introduction to PyTorch
Deep Learning Fundamentals
Computational Graphs and Linear Models
Convolutional Networks
Other NN Architectures
Getting the Most out of PyTorch
