Patent ID: 11907834
Assignee: DEEPMENTOR INC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method of claim 2, wherein in step C), each of the training operations includes the sub-steps of:
C1) inputting one of the size-reduced data groups into the DNN, so as to obtain the training result;
C2) comparing the training result with the predetermined expectation so as to obtain a deviation between the training result and the predetermined expectation as an intermediate deviation;
C3) inputting the intermediate deviation into the DNN;
C4) repeating sub-steps C1) to C3) until the intermediate deviation currently obtained in sub-step C1) does not vary with respect to the intermediate deviation obtained in a previous iteration of sub-step C1); and
C5) after sub-step C4), outputting the DNN as the DNN model and the intermediate deviation currently obtained in sub-step C1) as the steady deviation.