公开(公告)号：US11586908B1

公开(公告)日：2023-02-21

申请号：US16295405

申请日：2019-03-07

Applicant: Xilinx, Inc.

Inventor： Albert T. Gural ,  Sambhav R. Jain ,  Christopher H. Dick

IPC: G06N3/08 ,  G06K9/62 ,  G06N3/04 ,  G06F40/20

Abstract: Systems and methods for training a neural network model includes providing a quantization function including a quantization log threshold parameter associated with a log value of a quantization threshold. A quantization training to a neural network model is performed to generate quantized neural network parameters. The quantization training includes: generating first values with a first precision for the neural network parameters; performing a first optimization process to generate an updated quantization log threshold parameter; and generating quantized values with a second precision lower than the first precision for the neural network parameters by applying the quantization function with the updated quantization log threshold parameter to the first values. The neural network model with the quantized values for the neural network parameters is provided for performing a task.