Deep Learning for Numerical Applications with SAS

Chapter 3: Regressions

A Brief History of Regressions

All about the Data (Reprise)

The CARS Data Set

A Simple Regression

The Universal Approximation Theorem

Universal Approximation Framework

Approximation of a Continuous Function

Conclusions

 

In Chapter 2, we started to get acquainted with the deep learning (DL) capabilities of SAS Viya by using the CAS server from SAS Studio. We were quite successful at classifying data sets using deep learning techniques, so it is time to see whether we can build on that success and learn how to solve numerical problems by performing regressions using a deep neural network (DNN).

A Brief History of Regressions

In this section, we give a very brief introduction to regressions and their history. If you’re ...