Machine Learning, Neural Network Algorithm, Differential Equations.
more natural way to apply ML to irregular time series. Residual Networks To explain and contextualize Neural ODEs, we first look at their progenitor: the residual network. In a vanilla neural network, the transformation of the hidden state through a network is h(t+1) = f(h(t), 𝛳(t)), where f