(Invited) Analog Memory Fully Connected Networks for Deep Neural Network Accelerated Training
Neuromorphic computation represents a novel and innovative solution for addressing elaborated tasks which are typically solved by the human brain [1]. The highly parallel structure employed in neuromorphic architectures enables complex computation with faulty devices, as opposite to digital architec...
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Published in | Meeting abstracts (Electrochemical Society) Vol. MA2018-02; no. 18; p. 732 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
23.07.2018
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Online Access | Get full text |
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