Machine Learning, Deep Learning, Neural Networks, Artificial Intelligence, Towards Data Science.
of RNNs with prior assumption on dynamics between arrival times [13] as well as the ODE version of RNN [14]. In scenarios involving a temporal component, the depth domain of GDEs S coincides with the time domain and can be adapted depending on the requirements. For example, given a time window Δt,