Patent ID: 11900647
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. The image classification apparatus according to claim 12, wherein the first neural network and the first generally-connected network are trained by:
determining the first training set of the first neural network, wherein the first training set includes a first training image;
determining a first reference training image of the first training image;
performing, by using the first neural network, convolution processing on the first training image and the first reference training image respectively to obtain a first training image feature and a second training image feature;
determining a to-be-classified training image feature according to the first training image feature and the second training image feature;
processing, by using the first generally-connected network, the to-be-classified training image feature to determine a probability that the first training image belongs to the preset category; and
adjusting parameters of the first neural network and the first generally-connected network to minimize a loss between the probability that the first training image belongs to the preset category and an actual category to which the first training image belongs.