CPC H04L 63/14 (2013.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01)] | 20 Claims |
1. A method comprising:
obtaining, by a device, input features for a neural network-based model;
pre-defining, by the device, a set of neurons of the model to represent known behaviors associated with the input features;
constraining, by the device, weights for a plurality of outputs of the model; and
training, by the device, the neural network-based model using the constrained weights for the plurality of outputs of the model, by including the pre-defined set of neurons in the neural network-based model, and by excluding the pre-defined set of neurons from being updated during the training.
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