ARTIFICIAL NEURAL NETWORK REDUCTION TO REDUCE INFERENCE COMPUTATION TIME

摘要

Training devices and methods for training an artificial neural network (ANN). The training device includes processing circuitry configured to transmit training data for the ANN and parameters for the ANN to an inference device. The processing circuitry is also configured to receive inference data, based on the training data and the parameters, from the inference device. The processing circuitry is also configured to receive inference timing information, based on the training data and the parameters, from the inference device. The processing circuitry is also configured to calculate a difference between the calculated inference data and expected inference data. The processing circuitry is also configured to modify the parameters and to transmit the modified parameters to the inference device if the difference exceeds a difference threshold or if the timing information indicates an inference time exceeding a timing threshold