Time Series Forecasting, Classification, Deep Learning, Recurrent Neural Network, Missing Data.
4. Graphical illustrations of the original GRU (top-left), the proposed GRU-D (bottom), and the whole network architecture (right) [source] We can see that GRU-D is based on GRU with a number of additions. A decay mechanism is added for the input variables and the hidden states to capture the