Differential Equation Units: Learning Functional Forms of Activation Functions from Data

6 Sep 2019MohamadAli TorkamaniShiv ShankarAmirmohammad RooshenasPhillip Wallis

Most deep neural networks use simple, fixed activation functions, such as sigmoids or rectified linear units, regardless of domain or network structure. We introduce differential equation units (DEUs), an improvement to modern neural networks, which enables each neuron to learn a particular nonlinear activation function from a family of solutions to an ordinary differential equation... (read more)

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