Deep Learning with Python, Second Edition

10 Deep learning for timeseries

This chapter covers

• Examples of machine learning tasks that involve timeseries data
• Understanding recurrent neural networks (RNNs)
• Applying RNNs to a temperature-forecasting example
• Advanced RNN usage patterns

10.1 Different kinds of timeseries tasks

A timeseries can be any data obtained via measurements at regular intervals, like the daily price of a stock, the hourly electricity consumption of a city, or the weekly sales of a store. Timeseries are everywhere, whether we’re looking at natural phenomena (like seismic activity, the evolution of fish populations in a river, or the weather at a location) or human activity patterns (like visitors to a website, a country’s GDP, or credit card transactions). Unlike ...