This document discusses using LSTM neural networks for time series prediction. It provides examples of using LSTM to predict traffic times based on historical minute-by-minute traffic data and evaluating predictions against actual times. The document also discusses data preparation steps like feature engineering and dimensionality reduction needed before using LSTM on different types of time series data like text, images, or numerical values.