Regression with Keras (Deep Learning with Keras - Part 3) : Regression

After two introductory tutorials, its time to build our first neural network! The network we are building solves a simple regression problem. Regression is a process where a model learns to predict a continuous value output for a given input data, e.g. Our objective is to build prediction model that predicts housing prices from a set of house features. We will use the Boston Housing dataset, which is collected by the U.S Census Service concerning housing in the area of Boston Mass.