Neural Networks

A computing solution that is loosely modeled after cortical structures of the brain. The output of a neural network relies on the cooperation of the individual neurons within the network to operate.

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Books under this sub-category (5 books)

A Brief Introduction to Neural Networks

Post date: 22 May 2016
This book provides a comprehensive overview of the subject of neural networks.
Publication date: 31 Dec 2007
License: Creative Commons Attribution-NoDerivs 3.0 Unported
 
A Brief Introduction to Neural Networks

A Brief Introduction to Neural Networks

Post date: 22 May 2016
This book provides a comprehensive overview of the subject of neural networks.
Publication date: 31 Dec 2007
License: Creative Commons Attribution-NoDerivs 3.0 Unported


Artificial Neural Networks - Models and Applications

Post date: 27 Oct 2016
This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.
Publisher: InTech
Publication date: 19 Oct 2016
License: Creative Commons Attribution 3.0 Unported
Document Type: Book
 
Artificial Neural Networks - Models and Applications

Artificial Neural Networks - Models and Applications

Post date: 27 Oct 2016
This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.
Publisher: InTech
Publication date: 19 Oct 2016
License: Creative Commons Attribution 3.0 Unported Document Type: Book


Machine Learning, Neural and Statistical Classification

Post date: 25 Jan 2007
The aim of this book is to provide a review of different approaches to classification, compare their performance on a wide range of challenging data-sets, and draw conclusions on their applicability to realistic industrial problems.
Publisher: Ellis Horwood
Publication date: 17 Feb 1994
 
Machine Learning, Neural and Statistical Classification

Machine Learning, Neural and Statistical Classification

Post date: 25 Jan 2007
The aim of this book is to provide a review of different approaches to classification, compare their performance on a wide range of challenging data-sets, and draw conclusions on their applicability to realistic industrial problems.
Publisher: Ellis Horwood
Publication date: 17 Feb 1994


Neural Networks and Deep Learning

Post date: 17 Jan 2016
This book helps you master the core concepts of neural networks, including modern techniques for deep learning.
Publication date: 01 Aug 2015
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Document Type: Book
 
Neural Networks and Deep Learning

Neural Networks and Deep Learning

Post date: 17 Jan 2016
This book helps you master the core concepts of neural networks, including modern techniques for deep learning.
Publication date: 01 Aug 2015
License: Creative Commons Attribution-NonCommercial 3.0 Unported Document Type: Book


The Nature of Code: Simulating Natural Systems with Processing

Post date: 29 Nov 2016
This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results.
Publication date: 13 Dec 2012
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Document Type: Book
 
The Nature of Code: Simulating Natural Systems with Processing

The Nature of Code: Simulating Natural Systems with Processing

Post date: 29 Nov 2016
This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results.
Publication date: 13 Dec 2012
License: Creative Commons Attribution-NonCommercial 3.0 Unported Document Type: Book


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