Deep Learning Neural Networks

Deep Learning Neural Networks
Author :
Publisher : World Scientific Publishing Company
Total Pages : 0
Release :
ISBN-10 : 9813146443
ISBN-13 : 9789813146440
Rating : 4/5 (440 Downloads)

Book Synopsis Deep Learning Neural Networks by : Daniel Graupe

Download or read book Deep Learning Neural Networks written by Daniel Graupe and published by World Scientific Publishing Company. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Deep Learning Neural Networks Related Books

Deep Learning Neural Networks
Language: en
Pages: 0
Authors: Daniel Graupe
Categories: Machine learning
Type: BOOK - Published: 2016 - Publisher: World Scientific Publishing Company

GET EBOOK

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, dia
Deep Learning Neural Networks: Design And Case Studies
Language: en
Pages: 280
Authors: Daniel Graupe
Categories: Computers
Type: BOOK - Published: 2016-07-07 - Publisher: World Scientific Publishing Company

GET EBOOK

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, dia
Neural Networks and Deep Learning
Language: en
Pages: 512
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2018-08-25 - Publisher: Springer

GET EBOOK

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm
Introduction to Deep Learning
Language: en
Pages: 196
Authors: Sandro Skansi
Categories: Computers
Type: BOOK - Published: 2018-02-04 - Publisher: Springer

GET EBOOK

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the
Neural Network Design
Language: en
Pages:
Authors: Martin T. Hagan
Categories: Neural networks (Computer science)
Type: BOOK - Published: 2003 - Publisher:

GET EBOOK