Fr. 159.00

Deep Learning - Research and Applications

English · Hardback

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This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples.
Deep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems.
Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition.

About the author










Siddhartha Bhattacharyya, Satadal Saha, B. K. Tripathy, India. Vaclav Snasel, Czech Republic. Aboul Ella Hassanien, Egypt.

Product details

Assisted by Siddhartha Bhattacharyya (Editor), Aboul Ella Hassanien (Editor), Aboul Ella Hassanien et al (Editor), Satadal Saha (Editor), Vacla Snasel (Editor), Vaclav Snasel (Editor), B. K. Tripathy (Editor)
Publisher De Gruyter
 
Languages English
Product format Hardback
Released 31.01.2020
 
EAN 9783110670790
ISBN 978-3-11-067079-0
No. of pages 152
Dimensions 173 mm x 15 mm x 246 mm
Weight 437 g
Illustrations 96 b/w ill.
Series Frontiers in Computational Intelligence
ISSN
De Gruyter Frontiers in Computational Intelligence
De Gruyter Frontiers in Computational Intelligence, 7
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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