Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses

IEEE Transactions on Electron Devices, pp. 5004-5011, 2016.

Cited by: 12|Bibtex|Views29|DOI:https://doi.org/10.1109/TED.2016.2616483
EI WOS
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Current large-scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. New memory technologies, such as nanoscale two-terminal resistive switching memory devices, offer a compact, scalable, and low-power alternative that permits on-chip co...More

Code:

Data:

Your rating :
0

 

Tags
Comments