Perceptron Binary Classifier

A naive implementation of a single-neuron neural network binary classifier that learns to distinguish between different data.

Idea

• Generate random data set.
• Implement single-neuron neural network.
• Plot the distributions and the decision boundary to evaluate the functioning of the NN.