Patent ID: 11941527
Assignee: DEEPMIND TECHNOLOGIES LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. The system of claim 13, wherein setting (i) the values of the hyperparameters of the candidate neural network and (ii) the updated values of network parameters of the candidate neural network based on the updated quality measure of the candidate neural network and the maintained quality measure of the other candidate neural network to obtain new values comprises:
obtaining data representing a set of historical quality measures of the candidate neural network,
determining whether the set of historical quality measures satisfy the Welch's t-test;
determining whether the maintained quality measure of the other candidate neural network is greater than the updated quality measure of the candidate neural network; and
in response to determining that the set of historical quality measures satisfy the Welch's t-test, and the maintained quality measure of the other candidate neural network is greater than the updated quality measure of the candidate neural network, setting the new values of the hyperparameters of the candidate neural network to the maintained values of the hyperparameters of the other candidate neural network, and setting the values of the network parameters of the candidate neural network to the maintained values of the network parameters of the other candidate neural network.