Deep Learning Neural Networks: Design And Case Studies

Daniel Graupe (Autor)

Buch | Softcover

280 Seiten

2016
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-314-645-7 (ISBN)

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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 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 intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.

Erscheinungsdatum	05.09.2016
Verlagsort	Singapore
Sprache	englisch
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	981-314-645-1 / 9813146451
ISBN-13	978-981-314-645-7 / 9789813146457
Zustand	Neuware