Accelerated neural network training using a pipelined resistive processing unit architecture
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United States of America Patent
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Nov 17, 2020
Grant Date -
Jan 4, 2018
app pub date -
Jun 29, 2016
filing date -
Jun 29, 2016
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Abstract
A neural network system comprises a plurality of neurons, comprising a layer of input neurons, one or more layers of hidden neurons, and a layer of output neurons. The system further comprises a plurality of arrays of weights, each array of weights being configured to receive a plurality of discrete data points from a first layer of neurons and to produce a corresponding discrete data point to a second layer of neurons during a feed forward operation, each array of weights comprising a plurality of resistive processing units (RPU) having respective settable resistances. The system includes a neuron control system configured to control an operation mode of each of the plurality of neurons, wherein the operation mode comprises: a feed forward mode, a back propagation mode, and a weight update mode.
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