Question: Write a script in Matlab that constructs the matrix, X = rand ( 1 0 0 , 2 ) and vector y = rand (

Write a script in Matlab that constructs the matrix, X = rand(100,2) and vector y = rand(100,1). Construct a 2x1x1 FFNN. Calculate the forward propagation for all 100 instances without a squashing function(error, e =[e1 e2... e100]'). Calculate the gradient for the cost function, MSE(x_i)= sum(y_i - y_pred_i)^2/N at the output layer and the hidden layer. knowing e_i =(y_i - y_pred_i). Update your parameters W_h =[w_h_11; w_h_21], and w_o_11. Do this for 5 iterations.

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