Patent ID: 11915457
Assignee: TENCENT AMERICA LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 13:
14. The apparatus of claim 9, wherein the encoding neural network and the decoding neural network are trained by:
generating an inner-loop loss for training data corresponding to the received hyperparameter, based on the received hyperparameter, the first shared encoding parameters, the first adaptive encoding parameters, the first shared decoding parameters, and the first adaptive decoding parameters;
first updating the first shared encoding parameters, the first adaptive encoding parameters, the first shared decoding parameters and the first adaptive decoding parameters, based on gradients of the generated inner-loop loss;
generating a meta loss for validation data corresponding to the received hyperparameter, based on the received hyperparameter, the first updated first shared encoding parameters, the first updated first adaptive encoding parameters, the first updated first shared decoding parameters, and the first updated first adaptive decoding parameters; and
second updating the first updated first shared encoding parameters, the first updated first adaptive encoding parameters, the first updated first shared decoding parameters, and the first updated first adaptive decoding parameters, based on gradients of the generated meta loss.