Patent ID: 11861489
Assignee: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The convolutional neural network on-chip learning system based on the non-volatile memory according to claim 1, characterized in that the pooling layer circuit unit is divided into an average pooling operation and a maximum pooling operation, which are composed of a pooling operation circuit composed of the memristor array and a voltage conversion sub-unit;
the network convolution kernel values stored in the memristor array corresponding to the pooling operation circuit remains unchanged during a training process, circuit structure of the pooling operation circuit and mapping distribution of the convolution kernel are the same as the convolutional layer circuit unit, only the stored convolution kernel value is changed; and
the voltage conversion sub-unit converts a result of the pooling operation circuit into two opposite voltage pulse signals, h and −h, so as to serve as an input of the fully connected layer circuit unit.