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Analog crossbar architectures for accelerating neural network training and inference have made tremendous progress over the past several years. These architectures are ideal for dense layers with fewer than roughly a thousand neurons. However, for la
Externí odkaz:
http://arxiv.org/abs/2003.02642
Publikováno v:
In Neural Networks October 2018 106:144-151