(Download) "Deep Learning Classifiers with Memristive Networks" by Alex Pappachen James # eBook PDF Kindle ePub Free

📘 Read Now     📥 Download

eBook details

• Title: Deep Learning Classifiers with Memristive Networks
• Author : Alex Pappachen James
• Release Date : January 08, 2019
• Genre: Engineering,Books,Professional & Technical,Computers & Internet,Databases,Computers,
• Pages : * pages
• Size : 37203 KB

Description

This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.

Download Books "Deep Learning Classifiers with Memristive Networks" PDF ePub Kindle