Recurrent neural networks are really good at analyzing sequential and time-series data. A recurrent neural network (RNN) is a neural model in which a bidirectional flow of information is present. In other words, while the propagation of signals in feedforward networks takes place only in a continuous manner, going from inputs to outputs, recurrent networks are different. In them, this propagation can also occur from a neural layer following a previous one, or between neurons belonging to the same layer, and even between a neuron and itself.
Building a recurrent neural network for sequential data analysis
Getting ready
When we deal with sequential and time-series data, we cannot just extend generic models. The temporal dependencies...
