公开(公告)号：US10572800B2

公开(公告)日：2020-02-25

申请号：US15423360

申请日：2017-02-02

Applicant: NEC Laboratories America, Inc.

Inventor： Linnan Wang ,  Yi Yang ,  Renqiang Min ,  Srimat Chakradhar

IPC: G06N3/08 ,  G06N3/04

Abstract: Aspects of the present disclosure describe techniques for training a convolutional neural network using an inconsistent stochastic gradient descent (ISGD) algorithm. Training effort for training batches used by the ISGD algorithm are dynamically adjusted according to a determined loss for a given training batch which are classified into two sub states—well-trained or under-trained. The ISGD algorithm provides more iterations for under-trained batches while reducing iterations for well-trained ones.