NOTE: The neuronal network must have one hidden-layer with 4 neurons.

We would like to implement a neural network that classifies data points in R2 according to decision boundary given in the figure below. class B class A We consider as an elementary computation the threshold neuron whose relation between inputs (ai)i and output aj is given by (a) Design at hand a neural network that takes and as input and produces the output "1" if the input belongs to class A, and "0" if the input belongs to class B. Draw the neural network model and write down the weights Wij and bias bj of each neuron.