Brinks Gilson & Lione
Classification model training method, server, and storage medium
A classification model training method is provided. The method includes selecting a training dataset, determining a category of a sketch in the training dataset according to a sketch classification model, to obtain a first category processing result, and analyzing, according to a second feature analysis model, a feature of the sketch extracted by a first feature extracting model, to obtain a second analysis result of the sketch; then obtaining a function value of a first loss function according to the first category processing result and the second analysis result of the sketch; and finally adjusting a first model parameter value of the sketch classification model according to the function value of the first loss function.
Tencent Technology (Shenzhen) Company Limited
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Lin Fei Wei
Ma Huang Liu