Title:
MACHINE LEARNING METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2018/068623
Kind Code:
A1
Abstract:
Disclosed in embodiments of the present application are a machine learning method and system, which are applied to the technical field of information processing. In the method in an embodiment of the present invention, a machine learning system allocates a storage space according to the sizes of storage spaces corresponding to layers of computing architectures of a machine learning model, and accordingly the layers of computing architectures can cyclically use the storage space. By means of the method in the embodiment of the present invention, the storage space needed in operation of the machine learning model can be reduced to a great extent, thereby improving system performance.
Inventors:
ZHAO LING (CN)
LI JILIN (CN)
LI JILIN (CN)
Application Number:
PCT/CN2017/102836
Publication Date:
April 19, 2018
Filing Date:
September 22, 2017
Export Citation:
Assignee:
TENCENT TECH SHENZHEN CO LTD (CN)
International Classes:
G06N99/00
Foreign References:
| CN106529679A | 2017-03-22 | |||
| US20160179434A1 | 2016-06-23 | |||
| CN101681450A | 2010-03-24 | |||
| CN101047610A | 2007-10-03 | |||
| CN105869117A | 2016-08-17 |
Attorney, Agent or Firm:
DEQI INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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