Draw the Artificial Neural Network with weight and bias values. x1 = 0. 15, x2 = 0. 26, b1 = 1.2, w1 = 0. 5, w2 = 0. 3,.and Desired (i.e., Actual /Target) output Y = 0.8. learning rate α = 0.01
i. Apply the forward propagation to predict the value.
ii. Apply Mean Squared Error to calculate the loss.
iii. Apply backward propagation to update the parameters for single iteration.
iv. Calculate and write the updated new parameters of b, w1 and w2.

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