Method and system for reducing deep neural network architectures
Abstract:
A method includes deploying a neural network (NN) model on an electronic device. The NN model is generated by training a first NN architecture on a first dataset. A first function defines a first layer of the first NN architecture. The first function is constructed based on approximating a second function applied by a second layer of a second NN architecture. Retraining of the NN model is enabled on the electronic device using a second data set.
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