Neural Networks And Computing
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Neural Computing An Introduction
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Author : R Beale
language : en
Publisher: CRC Press
Release Date : 1990-01-01
Neural Computing An Introduction written by R Beale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01-01 with Mathematics categories.
Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.
Neural Networks And Computing
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Author : Tommy W. S. Chow
language : en
Publisher: Imperial College Press
Release Date : 2007
Neural Networks And Computing written by Tommy W. S. Chow and has been published by Imperial College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been covered by many existing books in this area. Additionally, the book highlights the important feature selection problem, which baffles many neural networks practitioners because of the difficulties handling large datasets. It also contains several interesting IT, engineering and bioinformatics applications.
Neural Networks
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Author : S?ren Brunak
language : en
Publisher: World Scientific
Release Date : 1990
Neural Networks written by S?ren Brunak and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Both specialists and laymen will enjoy reading this book. Using a lively, non-technical style and images from everyday life, the authors present the basic principles behind computing and computers. The focus is on those aspects of computation that concern networks of numerous small computational units, whether biological neural networks or artificial electronic devices.
Neural Network Computing
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Author : Ramachandran Bharath
language : en
Publisher: McGraw-Hill Companies
Release Date : 1994
Neural Network Computing written by Ramachandran Bharath and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
An introduction to neural networking for systems designers, software developers, programmers, and advanced hobbyists. The authors explain how "brain-style" computing will revolutionize information processing in the 21st century. The disk includes programs for simulating artificial neural networks.
Guide To Neural Computing Applications
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Author : Lionel Tarassenko
language : en
Publisher: Elsevier
Release Date : 1998-01-30
Guide To Neural Computing Applications written by Lionel Tarassenko and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-30 with Computers categories.
Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more experienced practitioner who, through over familiarity, might otherwise be inclined to jump to unwarranted conclusions. The book is an invaluable resource not only for those in industry who are interested in neural computing solutions, but also for final year undergraduates or graduate students who are working on neural computing projects. It provides advice which will help make the best use of the growing number of commercial and public domain neural network software products, freeing the specialist from dependence upon external consultants.
Neural Network Computing
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Author : Ramachandran Bharath
language : en
Publisher: TAB/Electronics
Release Date : 1994-01-01
Neural Network Computing written by Ramachandran Bharath and has been published by TAB/Electronics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-01-01 with Artificial intelligence categories.
Artificial Neural Networks For Computer Vision
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Author : Yi-Tong Zhou
language : en
Publisher:
Release Date : 1992
Artificial Neural Networks For Computer Vision written by Yi-Tong Zhou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computer vision categories.
An Introduction To Neural Computing
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Author : Igor Aleksander
language : en
Publisher:
Release Date : 1995
An Introduction To Neural Computing written by Igor Aleksander and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
The second edition of this text has been updated and includes material on new developments including neurocontrol, pattern analysis and dynamic systems. The book should be useful for undergraduate students of neural networks.
Advanced Methods In Neural Computing
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Author : Philip D. Wasserman
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1993
Advanced Methods In Neural Computing written by Philip D. Wasserman and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
This is the engineer's guide to artificial neural networks, the advanced computing innovation which is posed to sweep into the world of business and industry. The author presents the basic principles and advanced concepts by means of high-performance paradigms which function effectively in real-world situations.
A Guide To Convolutional Neural Networks For Computer Vision
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Author : Salman Khan
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2018-02-13
A Guide To Convolutional Neural Networks For Computer Vision written by Salman Khan and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-13 with Computers categories.
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision. This self-contained guide will benefit those who seek to both understand the theory behind CNNs and to gain hands-on experience on the application of CNNs in computer vision. It provides a comprehensive introduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs. The book also discusses a wide range of loss functions, network layers, and popular CNN architectures, reviews the different techniques for the evaluation of CNNs, and presents some popular CNN tools and libraries that are commonly used in computer vision. Further, this text describes and discusses case studies that are related to the application of CNN in computer vision, including image classification, object detection, semantic segmentation, scene understanding, and image generation. This book is ideal for undergraduate and graduate students, as no prior background knowledge in the field is required to follow the material, as well as new researchers, developers, engineers, and practitioners who are interested in gaining a quick understanding of CNN models.