Technical requirements
Apart from the technical requirements specified in the Preface, the following are some of the additional requirements needed for this chapter:
- Ensure that you have completed Recipe, Installing MXNet, Gluon, GluonCV and GluonNLP from Chapter 1 Up and Running with MXNet.
- Ensure that you have completed Recipe 1, Toy dataset for regression – load, manage, and visualize a house sales dataset from Chapter 2, Working with MXNet and Visualizing Datasets: Gluon and DataLoader.
The code for this chapter can be found at the following GitHub URL: https://github.com/PacktPublishing/Deep-Learning-with-MXNet-Cookbook/tree/main/ch03.
Furthermore, you can access each recipe directly from Google Colab, for example, for the first recipe of this chapter: https://colab.research.google.com/github/PacktPublishing/Deep-Learning-with-MXNet-Cookbook/blob/main/ch03/3_1_Understanding_Maths_for_Regression_Models.ipynb.
