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Floating gate architecture for deep neural network application
Floating gate architecture for deep neural network application
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机译:浮选门架构在深度神经网络中的应用
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摘要
A resistive processing unit (RPU) circuit for use in a neural network application includes at least one floating gate storage device, the floating gate storage device including a floating gate, a control gate and an inject/erase gate. The RPU circuit further includes a feedback circuit connected with the floating gate storage device. The feedback circuit is configured to maintain a substantially constant floating gate potential of the floating gate storage device during an update mode of operation of the RPU circuit, and is disabled during a readout mode of operation of the RPU circuit.
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