Machine Learning, Neural Network Algorithm, Differential Equations.
ODENets are evaluated using black box ODE solvers, but first the parameters of the model must be optimized via gradient descent. To do this, we need to know the gradient of the loss with respect to the parameters, or how the loss function depends on the parameters in the ODENet. In deep learning,