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Deep Learning Neural Network Classifier Using Non-volatile Memory Array

机译:使用非易失性存储器阵列的深度学习神经网络分类器

摘要

An artificial neural network device that utilizes one or more non-volatile memory arrays as the synapses. The synapses are configured to receive inputs and to generate therefrom outputs. Neurons are configured to receive the outputs. The synapses include a plurality of memory cells, wherein each of the memory cells includes spaced apart source and drain regions formed in a semiconductor substrate with a channel region extending there between, a floating gate disposed over and insulated from a first portion of the channel region and a non-floating gate disposed over and insulated from a second portion of the channel region. Each of the plurality of memory cells is configured to store a weight value corresponding to a number of electrons on the floating gate. The plurality of memory cells are configured to multiply the inputs by the stored weight values to generate the outputs.
机译:一种利用一个或多个非易失性存储器阵列作为突触的人工神经网络设备。突触被配置为接收输入并从中生成输出。神经元配置为接收输出。突触包括多个存储单元,其中每个存储单元包括在半导体衬底中形成的间隔开的源极区和漏极区,在其之间延伸的沟道区,设置在沟道区的第一部分上方并与其绝缘的浮栅。非浮栅设置在沟道区的第二部分上方并与之绝缘。多个存储单元中的每一个被配置为在浮置栅极上存储与电子数量相对应的权重值。多个存储单元被配置为将输入乘以所存储的权重值以生成输出。

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