D Question 5 20p Given the following artificial neural network with 3 inputs (x1, x2, x3), one hidden layer with two neurons (A and B), and the output layer has a single neuron C that provides predicted output lie, y hat). input layer Hidden layer output layer x ws xz Since this feedforward neural network is going to be used in a supervised learning paradigm to find relationship between the inputs (x1, x2x3) and the output M. As you can see the network has total eight weights (wi.w2...w8). Let's assume, we initialized all the weight values to be 1. Here below is a much simpler dataset with only two samples Sample 1 and Sample 2. The target outputs for each sample are also given Sample ID K1 X2 x3 Target Sample 1 1 10 10 5 Sample 2 S 10 4 Now, answer the following question For both sample 1 and 2, what is the SSE (am of squared error)? 100D @ 100 124832343 206005