Patent ID: 11934790
Assignee: BOE TECHNOLOGY GROUP CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. The training method according to claim 17, wherein the generative network adversarial loss function is expressed as:

LG=−Ez3˜Pdata(z3)[log D(G(z3))]−Ez4˜Pdata(z4)[1−log D(G(z4))]

wherein LG represents the generative network adversarial loss function, z3 represents the fifth training remark, data Pdata(z3) represents a set of fifth training remarks, G(z3) represents the fifth training common representation vector, D(G(z3)) represents the fifth training output, Ez3˜Pdata(z3) represents an expectation value for the set of the fifth training remarks, z4 represents the sixth training remark, Pdata(z4) represents a set of sixth training remarks, G(z4) represents the sixth training common representation vector, D(G(z4)) represents the sixth training output, Ez4˜Pdata(z4) represents an expectation value for the set of the sixth training remarks.