What is the process in which sequential data is input into a recurrent neural network (RNN) after training?

• The process of inputting sequential data into an RNN after training involves pre-processing the data into a suitable format that can be fed into the network. • As RNNs are designed to capture temporal dependencies in sequential data, they may not be able to capture any meaningful temporal dependencies with a single data point.