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

Claim 15:
16. The training method according to claim 15, wherein the discriminative network adversarial loss function is expressed as:

LD=−Ez1˜Pdata(z1)[log D(G(z1))]−Ez2˜Pdata(z2)[1−log D(G(z2))]

wherein LD represents the discriminative network adversarial loss function, z1 represents the third training remark, Pdata(z1) re presents a set of third training remarks, G(z1) represents the third training common representation vector, D(G(z1)) represents the third training output, Ez1˜Pdata(z1) represents an expectation value for the set of the third training remarks, z2 represents the fourth training remark, data Pdata(z2) re presents a set of fourth training remarks, G(z2) represents the fourth training common representation vector, D(G(z2)) represents the fourth training output, Ez2˜Pdata(z2) represents an expectation value for the set of the fourth training remarks.