Convolutional Neural Networks in Visual Computing: A Concise Guide (Data-Enabled Engineering)
ISBN-13:
9781138747951
ISBN-10:
1138747955
Edition:
1
Author:
Ragav Venkatesan, Baoxin Li
Publication date:
2017
Publisher:
CRC Press
Format:
Paperback
168 pages
FREE US shipping
Book details
ISBN-13:
9781138747951
ISBN-10:
1138747955
Edition:
1
Author:
Ragav Venkatesan, Baoxin Li
Publication date:
2017
Publisher:
CRC Press
Format:
Paperback
168 pages
Summary
Convolutional Neural Networks in Visual Computing: A Concise Guide (Data-Enabled Engineering) (ISBN-13: 9781138747951 and ISBN-10: 1138747955), written by authors
Ragav Venkatesan, Baoxin Li, was published by CRC Press in 2017.
With an overall rating of 3.6 stars, it's a notable title among other
AI & Machine Learning
(Systems Analysis & Design, Computer Science, Software Design, Testing & Engineering, Programming, Electrical & Electronics, Engineering, Industrial, Manufacturing & Operational Systems) books. You can easily purchase or rent Convolutional Neural Networks in Visual Computing: A Concise Guide (Data-Enabled Engineering) (Paperback) from BooksRun,
along with many other new and used
AI & Machine Learning
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.3.
Description
This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.
We would LOVE it if you could help us and other readers by reviewing the book
{user}
{createdAt}
{truncated_title}
{author_block}
by {truncated_author}
