A neural network comprising of $2$ input neurons $($for x and y values$),2$ hidden layer neurons $($h$1$ and

h$2),$ and a single output neuron, was trained to classify the data. The hidden and output neurons use

the threshold activation function, which outputs either $0($for a negative instance$)$ or $1$ for a positive

instance.

y

x