Patent ID: 11914672
Assignee: HUAWEI TECHNOLOGIES CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method of claim 1, wherein the search space is a weight-sharing supernet, and is trained by:
in each training session in a plurality of training sessions:
generating, from a set of training data, a batch of training data comprising a plurality of training data samples; and
for each training data sample:
generating a set of continuous neural network architecture parameters comprising score distributions over possible values for configuring the plurality of architecture cells;
discretizing the set of continuous architecture parameters into a set of discrete neural network architecture parameters;
selecting a candidate architecture by assigning the discrete neural network architecture parameters to the supernet;
evaluating a performance of the selected candidate architecture at performing the task with a performance metric;
determining a loss value as a function of the difference between the performance metric and validation data; and
updating a subset of the weight values of the supernet to minimize the loss value.