Applying an Artificial Neural Network

Now that you know the components of an artificial neural network as well as the different steps that it follows to train a model and make predictions, let's train a simple network using the scikit-learn library.

In this topic, scikit-learn's neural network module will be used to train a network using the dataset from the previous chapter (the Census Income Dataset). It is important to mention that scikit-learn is not the most appropriate library for neural networks, as it does not currently support many types of neural networks, and its performance over deeper networks is not as good as other neural network specialized libraries, such as TensorFlow.

The neural network module in scikit-learn currently supports a Multilayer Perceptron for classification, a Multilayer Perceptron for regression, and a Restricted Boltzmann Machine architecture. Considering that the case study consists of a classification task, the Multilayer Perceptron...