Online learning of neural networks based on a model-free control algorithm

Loïc Michel

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arXiv · 1905.02230

Online learning of neural networks based on a model-free control algorithm

Loïc Michel

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Abstract

We explore the possibilities of using a model-free-based control law in order to train artificial neural networks. In the supervised learning context, we consider the problem of tuning the synaptic weights as a feedback control tracking problem where the control algorithm adjusts the weights online according to the input-output training data set of the neural network. Numerical results illustrate the dynamical learning process and an example of classifier that show very promising properties of our proposed approach.

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Loïc Michel. 2019-05-06. Online learning of neural networks based on a model-free control algorithm. https://arxiv.org/abs/1905.02230

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