Patent ID: 11928602
Assignee: NEURALA, INC.
Field: nan (nan)
Classification: CPC nan | IPC G

Claim 2:
3. A method of classifying an object with a lifelong deep neural network comprising a deep neural network (DNN) and a classifier running on a real-time operating machine and trained to recognize objects in a plurality of categories, the method comprising:
presenting a first representation of an object to the lifelong deep neural network;
determining, by the lifelong deep neural network, a plurality of confidence levels based on the first representation, each confidence level in the plurality of confidence levels representing a likelihood that the object falls into a corresponding category in the plurality of categories;
performing a comparison of the plurality of confidence levels based on the first representation to a dynamic threshold greater than an average of the plurality of confidence levels based on the first representation;
determining that the object does not fall into any of the plurality of categories based on the comparison;
in response to determining that the object does not fall into any of the plurality of categories, classifying the object as falling into a category which the lifelong deep neural network has not been trained to recognize;
receiving, from a user, a label for the object; and
adding, by the classifier to the plurality of categories, a new category for the object based on the label for the object and a set of features of the object extracted from the first representation of the object by the DNN.