Machine Learning, Neural Networks, Neurips 2018.
variable input sizes posed many challenges with basic neural network architecture. Recurrent Neural Networks can process this type of input by eliminating the need for preset input dimensions and by making use of their internal state (memory). But then, RNNs are more susceptible to “Vanishing