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Deep Learning Classifiers with Memristive Networks 1st ed. 2020 edition
Deep Learning Classifiers with Memristive Networks
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.
213 pages, 102 Illustrations, color; 22 Illustrations, black and white; XIII, 213 p. 124 illus., 102
| Mediji | Grāmatas Book |
| Izlaists | 2019. gada 17. aprīlis |
| ISBN13 | 9783030145224 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 213 |
| Izmēri | 150 × 220 × 20 mm · 498 g |
| Valoda | Vācu |
| Redaktors | James, Alex Pappachen |