Daniel Graupe – författare
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7 produkter
PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS: BASIC DESIGNS TO DEEP LEARNING (4TH EDITION)
Inbunden, 2019
2238 kr
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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the …
PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS (2ND EDITION)
Inbunden, 2007
2069 kr
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The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural …
DEEP LEARNING NEURAL NETWORKS: DESIGN AND CASE STUDIES
Inbunden, 2016
1214 kr
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Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad …
DEEP LEARNING NEURAL NETWORKS: DESIGN AND CASE STUDIES
Häftad, 2016
672 kr
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Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad …
PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS (3RD EDITION)
Inbunden, 2013
1965 kr
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Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of …
PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS
Inbunden, 1997
837 kr
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This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a …
PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS
Häftad, 1997
504 kr
Tillfälligt slut
This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a …
