Running a ‘Deep Learning’ Artificial Neural Network in RapidMiner Studio

Authors

Shalin Hai-Jew, Kansas State UniversityFollow

Abstract

This work describes how to run a deep learning artificial neural network on RapidMiner Studio with the open and full Titanic dataset. This also includes a cross-validation to show a powerful modeling algorithm.

Recommended Citation

Hai-Jew, Shalin (2019) "Running a ‘Deep Learning’ Artificial Neural Network in RapidMiner Studio," C2C Digital Magazine: Vol. 1: Iss. 10, Article 17.
Available at: https://scholarspace.jccc.edu/c2c_online/vol1/iss10/17