Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

J. KorstanjeAdvanced Forecasting with Pythonhttps://doi.org/10.1007/978-1-4842-7150-6_16

16. Neural Networks

Joos Korstanje¹  

(1)

Maisons Alfort, France

 

In the previous five chapters, you have discovered a number of supervised machine learning models, starting from linear regression to gradient boosting. In this chapter, you’ll discover Neural Networks (NNs).

The scope of Neural Networks is huge. The version that you’ll see in this chapter is a subgroup called fully connected neural networks. Those neural networks are intuitively quite close to the previous supervised models. In the following chapters, you’ll also discover Recurrent Neural Networks, and you’ll ...