This Science News Wire page contains a press release issued by an organization and is provided to you "as is" with little or no review from Science X staff.

Here's how deep learning neural networks are designed

August 11th, 2016
Here's how deep learning neural networks are designed
This image shows Deep Learning Neural Networks - Design and Case Studies. Credit: World Scientific, 2016

In the world of machine learning, deep learning neural networks (DLNN) is the fastest growing field.

World Scientific's latest book "Deep Learning Neural Networks: Design and Case Studies" shows how DLNN can be a powerful computational tool for solving prediction, diagnosis, detection and decision problems based on a well-defined computational architecture.

The applications in this field serve as a major decision tool in Big Data applications. DLNN 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. Their range of applications covers almost any problem whose input data, performance evaluation and target decision can be numerically expressed.

The architecture of DLNN is based on principles of biological neural networks and have the ability to intelligently integrate any mathematical or logical algorithm into their decision process.

The book's contents include basic concepts of neural networks, back propagation, cognitron and neocognitron, deep learning convolutional neural networks, LAMSTAR-1 and LAMSTAR-2 neural networks, and case studies, amongst others.

This book retails at US$88 / £73 (hardcover) and US$48 / £40 (paperback). More information can be found at http://www.worldscientific.com/worldscibooks/10.1142/10190.

Authored by Daniel Graupe (University of Illinois, Chicago, USA), Deep Learning Neural Networks: Design and Case Studies is on sale in major bookstores, including Amazon, and retails for US$88/ £73 (hardcover) and US$48/ £40 (paperback). For more information on the book, please visit.

Provided by World Scientific Publishing

Citation: Here's how deep learning neural networks are designed (2016, August 11) retrieved 28 March 2024 from https://sciencex.com/wire-news/232364632/heres-how-deep-learning-neural-networks-are-designed.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.