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Floating gate architecture for deep neural network application

机译:浮选门架构在深度神经网络中的应用

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.
机译:在神经网络应用中使用的电阻处理单元(RPU)电路包括至少一个浮栅存储设备,该浮栅存储设备包括浮栅,控制栅和注入/擦除栅。 RPU电路还包括与浮栅存储设备连接的反馈电路。反馈电路被配置为在RPU电路的操作的更新模式期间维持浮栅存储装置的基本恒定的浮栅电势,并且在RPU电路的读出的操作模式期间被禁用。

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