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Title:
DEEP LEARNING TRAINING METHOD AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2018/153201
Kind Code:
A1
Abstract:
The present disclosure provides a deep learning training method and apparatus. The deep learning training method comprises: in a forward propagation process of each iterative training, determining a loss value of each training data instance in batch training data instances; determining all difficult instances from the batch training data instances according to the loss value of each training data instance; and giving up learning characteristics of instances that are not difficult, and learning characteristics of all the difficult instances.

Inventors:
GAO YAN (CN)
LV DA (CN)
LUO SHENGMEI (CN)
LI WEIHUA (CN)
Application Number:
PCT/CN2018/073955
Publication Date:
August 30, 2018
Filing Date:
January 24, 2018
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Assignee:
ZTE CORP (CN)
International Classes:
G06K9/62; G06N99/00
Foreign References:
CN106096538A2016-11-09
CN104992223A2015-10-21
CN103593474A2014-02-19
CN105608450A2016-05-25
US20150248764A12015-09-03
Attorney, Agent or Firm:
TEE&HOWE INTELLECTUAL PROPERTY ATTORNEYS (CN)
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