Artificial Neural Networks: Advanced Principles

Author:   Jeremy Rogerson
Publisher:   Willford Press
ISBN:  

9781682856697


Pages:   192
Publication Date:   27 June 2019
Format:   Hardback
Availability:   In stock   Availability explained
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Artificial Neural Networks: Advanced Principles


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Overview

Artificial neural networks refer to the computing systems inspired by biological neural networks. They are based on nodes or artificial neurons, which are a replica of biological neurons found in the brain of animals. This enables them to learn and thereby perform tasks by considering examples. The use of artificial neural networks is vast as they are applied in varied fields like medical diagnosis, speech recognition, computer vision, machine translation, etc. Some common variants include convolutional neural networks, deep stacking networks, deep belief networks, deep predictive coding networks, etc. The theoretical properties of artificial neural networks are capacity, generalization and statistics, computational power, convergence, etc. This book is a valuable compilation of topics, ranging from the basic to the most complex advancements in the field of artificial neural networks. The book attempts to assist those with a goal of delving into this field. The various studies that are constantly contributing towards advancing technologies and evolution of this field are examined in detail.

Full Product Details

Author:   Jeremy Rogerson
Publisher:   Willford Press
Imprint:   Willford Press
Dimensions:   Width: 17.80cm , Height: 1.30cm , Length: 25.40cm
Weight:   0.558kg
ISBN:  

9781682856697


ISBN 10:   1682856690
Pages:   192
Publication Date:   27 June 2019
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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