Patent ID: 11941363
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method according to claim 3, wherein the sub-data in the source data is represented by a tth piece of the sub-data, t being greater than or equal to 1 and less than or equal to N, and N being a total number of pieces of the sub-data in the source data, and
the preset depth level is an L level, L being a positive integer greater than 1, and the performing the feature transformation encoding comprises:
for a first level of a tth sub-feature vector, performing first feature transformation encoding on the tth sub-feature vector according to the preset feature transformation model to obtain a first-level hidden feature vector;
for a jth level of the tth sub-feature vector, obtaining a (j−1)th-level hidden feature vector of the tth sub-feature vector, the (j−1)th-level hidden feature vector being obtained by performing (j−1)th feature transformation encoding on the tth sub-feature vector, and j being greater than 1 and less than L;
performing jth feature transformation encoding on the tth sub-feature vector according to the (j−1)th-level hidden feature vector and the preset feature transformation model to obtain a jth-level hidden feature vector, and performing (j+1)th feature transformation encoding on the tth sub-feature vector until an Lth-level hidden feature vector is obtained; and
determining the Lth-level hidden feature vector as a hidden feature vector corresponding to the tth piece of the sub-data.