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

Claim 8:
9. A neural network apparatus, the apparatus comprising:
a memory storing information, including stored pre-determined precision parameters of a layer of an in-training neural network, about the layer; and
a processor configured to:
generate new parameter, 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; and
generate 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 is a bit width of the new parameters.