Deep Learning Classifiers with Memristive Networks: Theory and Applications by Alex Pappachen JamesEnglish | EPUB | 2020 | 216 Pages | ISBN : 3030145220 | 34.44 MB
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.