Deep Learning Classifiers with Memristive Networks
Theory and Applications
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Beschreibung
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.
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.
Offers an introduction to deep neural network architectures Describes in detail different kind of neuro-memristive systems, circuits and models Shows how to implement different kind of neural networks in analog memristive circuits
Autor*in
Alex Pappachen James
Themen in »Deep Learning Classifiers with Memristive Networks«
Neuro-memristive Computing Memristive Crossbar Arrays Memristor Models Memristor Materials Deep Learning Algorithms Neural Network Classifiers Gradient Descent Algorithm DNN- based Models for Speech Recognition Memristor Multi-level Memories Memristive Long Short Term Memory Memristive Deep Neural Networks Deep Neuro-fuzzy Networks Memristive Convolutional Neural Network Modular Crossbar Array Hierarchical Temporal Memories