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 Principles of Artificial Neural Networks (3rd Edition) Graupe, Daniel 9789814522731
Principles of Artificial Neural Networks (3rd Edition)

ISBN: 9789814522731 / Angielski / Twarda / 2013 / 384 str.

ISBN: 9789814522731/Angielski/Twarda/2013/384 str.

Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe
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 the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition - all with their respective source codes. These case...
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, an...
cena: 581,74

 Deep Learning Neural Networks: Design and Case Studies Daniel Graupe 9789813146440
Deep Learning Neural Networks: Design and Case Studies

ISBN: 9789813146440 / Angielski / Twarda / 2016 / 280 str.

ISBN: 9789813146440/Angielski/Twarda/2016/280 str.

Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe
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 field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is...
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, dec...
cena: 353,89

 Principles of Artificial Neural Networks Daniel Graupe 9789810241254
Principles of Artificial Neural Networks

ISBN: 9789810241254 / Angielski / Miękka / 1997 / 252 str.

ISBN: 9789810241254/Angielski/Miękka/1997/252 str.

Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe
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 programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.
This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directe...
cena: 130,89

 Deep Learning Neural Networks: Design and Case Studies Daniel Graupe 9789813146457
Deep Learning Neural Networks: Design and Case Studies

ISBN: 9789813146457 / Angielski / Miękka / 2016 / 280 str.

ISBN: 9789813146457/Angielski/Miękka/2016/280 str.

Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe
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 field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is...
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, dec...
cena: 193,91

 
Maimonides and Science in Sephardi Jewry: Contributions to Modern Science Until 1492

ISBN: 9798591094003 / Angielski / Miękka / 2021 / 196 str.

ISBN: 9798591094003/Angielski/Miękka/2021/196 str.

Termin realizacji zamówienia: ok. 16-18 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe
cena: 116,89

 Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition) Daniel Graupe 9789811201226
Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition)

ISBN: 9789811201226 / Angielski / Twarda / 2019 / 440 str.

ISBN: 9789811201226/Angielski/Twarda/2019/440 str.

Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe
cena: 702,94

 Principles of Artificial Neural Networks Graupe, Daniel 9789812706249
Principles of Artificial Neural Networks

ISBN: 9789812706249 / Angielski / Twarda / 2007 / 320 str.

ISBN: 9789812706249/Angielski/Twarda/2007/320 str.

Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe
Suitable as a self-study course for engineers and computer scientists in the industry, this book covers major neural network approaches and architectures with the theories. It presents detailed case studies for each of the approaches, accompanied with computer codes and the corresponding computed results.
Suitable as a self-study course for engineers and computer scientists in the industry, this book covers major neural network approaches and architectu...
cena: 533,26

 Principles Of Artificial Neural Networks Daniel Graupe, Wai-kai Chen 9789810225162
Principles Of Artificial Neural Networks

ISBN: 9789810225162 / Angielski / Twarda / 1997 / 252 str.

ISBN: 9789810225162/Angielski/Twarda/1997/252 str.

Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.)
Daniel Graupe;Wai-kai Chen
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 programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.The uniqueness of the book is in the breadth of its coverage over the range of all major artificial neural network approaches and in extensive hands-on case-studies on each and every...
This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directe...
cena: 213,31


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