Graupe, Daniel.
Principles of artificial neural networks basic designs to deep learning / [electronic resource] : Daniel Graupe. - 4th ed. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2019. - 1 online resource (440 p.) : ill. - Advanced series in circuits and systems ; v. 8 .
Includes bibliographical references and indexes.
"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 earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks - demonstrating how such case studies are designed, executed and how their results are obtained. The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789811201233
Neural networks (Computer science)
Electronic books.
QA76.87 / .G77 2019
006.3/2
Principles of artificial neural networks basic designs to deep learning / [electronic resource] : Daniel Graupe. - 4th ed. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2019. - 1 online resource (440 p.) : ill. - Advanced series in circuits and systems ; v. 8 .
Includes bibliographical references and indexes.
"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 earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks - demonstrating how such case studies are designed, executed and how their results are obtained. The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789811201233
Neural networks (Computer science)
Electronic books.
QA76.87 / .G77 2019
006.3/2