Publication: Practical gradient-descent for memristive crossbars
Practical gradient-descent for memristive crossbars
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Nair, M. V., & Dudek, P. (2015, November 10). Practical gradient-descent for memristive crossbars. 2015 International Conference on Memristive Systems (MEMRISYS). 2015 International Conference on Memristive Systems (MEMRISYS), Paphos. https://doi.org/10.1109/MEMRISYS.2015.7378392
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This paper discusses implementations of gradientdescent based learning algorithms on memristive crossbar arrays. The Unregulated Step Descent (USD) is described as a practical algorithm for feed-forward on-line training of large crossbar arrays. It allows fast feed-forward fully parallel on-line hardware based learning, without requiring accurate models of the memristor behaviour and precise control of the programming pulses. The effect of device parameters, training parameters, and device variability on the learning performance of cr
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- Nair, Manu V
- Dudek, Piotr
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Nair, M. V., & Dudek, P. (2015, November 10). Practical gradient-descent for memristive crossbars. 2015 International Conference on Memristive Systems (MEMRISYS). 2015 International Conference on Memristive Systems (MEMRISYS), Paphos. https://doi.org/10.1109/MEMRISYS.2015.7378392
