Patent ID: 11875251
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A processor-implemented neural network method of an apparatus that includes a processor and a memory storing information, including stored predetermined precision parameters of a layer of an in-training neural network, about the layer, the method comprising:
generating new parameters, with a set precision, for the layer based on the stored parameters, where the precision is set based on a result of a determination of a number of output classes of the layer based on information about the layer in the memory indicative of the number of output classes;
generating a trained neural network configured to generate an inference result based on an input provided to the trained neural network by training the layer of the in-training neural network using the new parameters such that a layer of the trained neural network has the set precision, the layer of the trained neural network is corresponding to the layer of the in-training neural network,
wherein a set precision of the layer with a first number of output classes is greater than another set precision of the layer with a second number of output classes that are less than the first number of output classes, and
wherein the set precision of the parameters is a bit width of the new parameters.