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pro vyhledávání: '"Chiasson, John"'
Publikováno v:
nternational Conference on Neuromorphic Systems 2020
Deep Neural Networks (DNNs) have two key deficiencies, their dependence on high precision computing and their inability to perform sequential learning, that is, when a DNN is trained on a first task and the same DNN is trained on the next task it for
Externí odkaz:
http://arxiv.org/abs/2005.04167
End user AI is trained on large server farms with data collected from the users. With ever increasing demand for IOT devices, there is a need for deep learning approaches that can be implemented (at the edge) in an energy efficient manner. In this wo
Externí odkaz:
http://arxiv.org/abs/2002.11843
Spiking neural networks are biologically plausible counterparts of the artificial neural networks, artificial neural networks are usually trained with stochastic gradient descent and spiking neural networks are trained with spike timing dependant pla
Externí odkaz:
http://arxiv.org/abs/1903.12272
Publikováno v:
In International Journal of Electrical Power and Energy Systems October 2016 81:222-231
Akademický článek
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Publikováno v:
SAE Transactions, 2002 Jan 01. 111, 2376-2385.
Externí odkaz:
https://www.jstor.org/stable/44743253
Publikováno v:
In Mathematics and Computers in Simulation 2003 63(3):197-208