How to Scale Data for Long Short-Term Memory Networks in Python - Machine Learning Mastery

The data for your sequence prediction problem probably needs to be scaled when training a neural network, such as a Long Short-Term Memory recurrent neural network. When a network is fit on unscaled data that has a range of values (e.g. In this tutorial, you will discover how to normalize and standardize your sequence prediction data and how to decide which to use for your input and output variables. How to Scale Data for Long Short-Term Memory Networks in Python Photo by Mathias Appel, some rights reserved. There are two types of scaling of your series that you may want to consider: normalization and standardization.