Regression with Deep Neural Networks (DNN)

For regression with DNNs, we first have to import the libraries we will use here. We will import TensorFlow, pandas, NumPy, and matplotlib with the lines of code shown in the following screenshot:

We will use the fully_ connected function from the tensorflow.contrib.layers model.

Elements of the DNN model

Before running the model, we first have to determine the elements that we will use in building a multilayer perceptron model, shown as follows:

• Architecture: The model contains 23 elements in the input layer, hence we have 25 features in this dataset. We have only one element in the output layer and we will use three hidden layers, although we could use any number of hidden layers...