Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
The paper proposes using techniques from control theory to update Deep Neural Networks (DNN) parameters online. It formulates the fully-connected feedforward DNN as a continuous-time dynamical system. The authors present…
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