In the previous recipe, Accelerating with MXNet, we introduced MXNet and demonstrated how to install the package. In this recipe, we will implement a neural network to predict the median price of homes in different locations in the Boston suburb. We will use the Boston Housing Prices dataset. This dataset contains information regarding attributes of houses at different locations such as the average number of rooms, crime rate, and property tax rate.
You can read about the attributes of the data at https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html.
