4 Feedforward Neural Network [Eisenstein Chapter 3 Problem 4] (2 pts) In Question 3, we tried to design a perceptron architecture in order to learn the XOR function represented by Table 1. Now, we want you to design a feedforward neural network to compute the XOR function. This can be done in several different ways, so make sure you provide ample description of your design! Use a single output node and specify the activation function you choose for it. Also use a single hidden layer with ReLU activation function. Describe all weights and offsets (bias terms) and ensure you design your network in accordance with Table 1. You may draw a diagram similar to the one shown below (or just indicate the weights . (Hint: In class, we discussed a neural network design that solves the XOR problem using tanh activation functions.)