PRIN ART NEURAL NETWORK (4TH ED) (eBook)

Basic Designs to Deep Learning

Daniel Graupe (Autor)

eBook Download: EPUB

2019 | 4. Auflage
440 Seiten
World Scientific Publishing Company (Verlag)
978-981-12-0124-0 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 15.3.2019
• Reihe/Serie: ADVANCED SERIES IN CIRCUITS & SYSTEMS
• Reihe/Serie: ADVANCED SERIES IN CIRCUITS & SYSTEMS
• Reihe/Serie: Advanced Series in Circuits and Systems
• Reihe/Serie: Advanced Series In Circuits And Systems
• Verlagsort: SG
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• ISBN-10: 981-12-0124-2 / 9811201242
• ISBN-13: 978-981-12-0124-0 / 9789811201240