Machine learning model training method and apparatus
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United States of America Patent
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Aug 20, 2024
Grant Date -
Sep 19, 2019
app pub date -
Jun 4, 2019
filing date -
Jan 11, 2018
priority date (Note) -
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Abstract
Embodiments of the present invention provide a machine learning model training method, including: obtaining target task training data and N categories of support task training data; inputting the target task training data and the N categories of support task training data into a memory model to obtain target task training feature data and N categories of support task training feature data; training the target task model based on the target task training feature data and obtaining a first loss of the target task model, and separately training respectively corresponding support task models based on the N categories of support task training feature data and obtaining respective second losses of the N support task models; and updating the memory model, the target task model, and the N support task models based on the first loss and the respective second losses of the N support task models.
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