Invention Grant
- Patent Title: Method and system for performing machine learning
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Application No.: US16396563Application Date: 2019-04-26
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Publication No.: US11308395B2Publication Date: 2022-04-19
- Inventor: Liang Han
- Applicant: ALIBABA GROUP HOLDING LIMITED
- Applicant Address: KY Grand Cayman
- Assignee: ALIBABA GROUP HOLDING LIMITED
- Current Assignee: ALIBABA GROUP HOLDING LIMITED
- Current Assignee Address: KY Grand Cayman
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N20/00 ; G06N3/04

Abstract:
Embodiments of the disclosure provide methods and systems for performing machine learning. The method can include: receiving training data; training a machine learning model based on the training data, wherein the machine learning model includes multiple layers each having one or more nodes having one or more connections with a node from another layer of the machine learning model; evaluating weights associated with the connections of the machine learning model, wherein each connection has a corresponding weight; removing, from the machine learning model, one or more connections having a weight that does not satisfy a threshold condition; and after the connections have been removed, updating the machine learning model.
Public/Granted literature
- US20190332940A1 METHOD AND SYSTEM FOR PERFORMING MACHINE LEARNING Public/Granted day:2019-10-31
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