Patent · US Active

Memory-based convolutional neural network system

US11531880B2 · kind B2 · utility

0Cited by

4References

8Claims

0Family size

Assignee

Huazhong University of Science and Technology · CN

Inventors

Yi Li · Hsinchu, TW
Wenqian Pan · Hubei, CN
Xiangshui Miao · Hubei, CN

Key dates

Filing date	Jun 7, 2018
Grant date	Dec 20, 2022
Priority date	—
Expiry date	Oct 23, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/09
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A memory-based CNN, includes an input module, a convolution layer circuit module, a pooling layer circuit module, an activation function module, a fully connected layer circuit module, a softmax function module and an output module, convolution kernel values or synapse weights are stored in the NOR FLASH units; the input module converts an input signal into a voltage signal required by the convolutional neural network; the convolutional layer circuit module convolves the voltage signal corresponding to the input signal with the convolution kernel values, and transmits the result to the activation function module; the activation function module activates the signal; the pooling layer circuit module performs a pooling operation on the activated signal; the fully connected layer circuit module multiplies the pooled signal with the synapse weights to achieve classification; the softmax function module normalizes the classification result into probability values as an output of the entire network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.