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Softcover - 9783319853680
149,79 €
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Beschreibung
This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. The authors describe how two-terminal solid-state resistive memories can emulate synaptic weights in a neural network. Readers will benefit from state-of-the-art summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration. This book also discusses peripheral neuron circuits design challenges and design strategies. Finally, the authors describe the impact of device non-ideal properties (e.g. noise, variation, yield) and their impact on the learning performance at the system-level, using a device-algorithm co-design methodology.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 04. Mai 2017 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 646 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783319543123 |
| Auflage | 1st ed. 2017 |
| Seiten | 269 |
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