Patent ID: 11948074
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  B | IPC B  G

Claim 16:
17. A processor-implemented method of training a neural network, the method comprising:
initializing a first representation bit number related to a weight of a current layer of an interim first neural network, which is pre-trained, and a second representation bit number related to an output activation map output from the current layer; and
generating a trained neural network by iteratively training plural layers of the interim first neural network, including:
calculating a loss as a calculated loss based on the interim first neural network, the first representation bit number, and the second representation bit number, based on training data; and
training the interim first neural network by updating the first representation bit number and the second representation bit number based on the calculated loss,

wherein a first parameter is dependent on first and second thresholds derived from the output activation map, and a second parameter tat is dependent on the first and second thresholds, and
wherein the updating is dependent on the first parameter and the second parameter.