I have a series of queries:- 1] How can I perform time series forecasting i.e. given a time series of lets say 'x' time steps and predicting the next 'y' time steps (consecutively). Can I use the regression layer after the last layer or will I have to convert my time series problem as a classification problem?
2] What is the significance of padding?
3]How do I prepare a dataset from a time series to be put into use for training the LSTM network?
4]Within the documentation for LSTM layers, under the sub-topic: 'list parameters' what Output Mode (sequence/ last) should I select and when?