Deep Learning for Time Series

One of the major applications in deep learning models is to forecast the future. In recent years, time series forecasting with deep learning models has been developed and applied in a number of fields. Recurrent neural network models can allow forecasting future better, and long short-term memory (LSTM) is a breakthrough to overcome the shortages of the previous RNN model. These algorithms are explained in detail in this chapter.