Convolutional networks for fast, energy-efficient neuromorphic - PNAS

Convolutional networks for fast, energy-efficient neuromorphic - PNAS

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Convolutional networks for fast, energy-efficient neuromorphic - PNAS

20 Sep 2016 ... For structure, typical convolutional networks place no constraints on filter ... data movement local and avoiding off-chip memory bottlenecks).

Convolutional Networks for Fast, Energy-Efficient ... - arXiv

For structure, typical convolutional networks place no con- ... off-chip memory bottlenecks). Here, we ... Synapses have individually configurable on/off states and.

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You can lower the batch size to fix the time out problem. ... bias and apply activation function, i.e. produce neural net layer output # A few words on ``dimshuffle`` ...

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Efficient processing and classification of wave energy spectrum data ...

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