CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] | 20 Claims |
1. A computer-implemented method of compressing a machine learning model, the method comprising:
receiving a machine learning model implemented in a computing system;
training the machine learning model using a first set of training data;
executing a sparsity-inducing regularization optimization process on the machine learning model, wherein execution of the sparsity-inducing regularization optimization process comprises using switching parameters to control a period for an orthant step and a proximal gradient method;
based on the sparsity-inducing regularization optimization process, receiving a compressed machine learning model; and
executing the compressed machine learning model to generate one or more outputs.
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