Patent ID: 11868878
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A computer-implemented method, comprising:
receiving training samples corresponding to target classes;
arranging nodes on an output layer of a fully-connected layer in an artificial neural network into groups of nodes, wherein:
each group of nodes forms a respective fully-connected subnetwork with nodes on an input layer of the fully-connected layer; and
each group of nodes corresponds to a respective unknown class and a respective subset of target classes;

labeling training samples not corresponding to a first subset of target classes as corresponding to a first unknown class; and
training, using the training samples, a first fully-connected subnetwork comprising a first group of nodes on the output layer, the first group of nodes corresponding to the first unknown class and the first subset of target classes;
wherein the artificial neural network is arranged such that, if an object is classified into the first subset of target classes, a second fully-connected subnetwork comprising a second group of nodes is not executed for classifying the object, the second group of nodes corresponding to a second unknown class and a second subset of target classes different from the first subset of target classes, wherein the first fully-connected subnetwork and the second fully-connected subnetwork share a same group of nodes on the input layer, and wherein nodes on the input layer are directly connected to nodes on the output layer.