Patent ID: 11934957
Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. The system of claim 14, further comprising:
the processor configured to:
designate at least one layer of the plurality of layers of the original classifier based on the amount of computed semantic accuracy by processing an input data sample of a set of input data samples through each layer of the plurality of layers of the original classifier to determine the number of activations of nodes contained each layer;
in response to a determination of the number of node activations, determining a set of distances between each node activation of a node layer of the plurality of layers for each sample and an average of node activations in corresponding node layer for all data samples in the set of input data samples in a training set for each semantic category of the plurality of semantic categories;
repeat the determining for each consecutive input data sample until an average vector value for each layer's node is computed in each layer for each received input data sample;
retain the average vector value for each node in each layer of the plurality of layers of the original classifier;
score, in each layer of the plurality of layers, an average of nodes in vectors wherein the average of nodes is configured as a vector;
sum, a set of scores of vector values for each layer of the plurality of layers that is received for all of the data samples in a data set wherein the scored vector values in each layer are used to determine a layer with a maximum value; and
designate the layer of the plurality of layers with the maximum value as the optimal semantic content layer.