The architecture of the Multilayer Perceptron Neural Network is given as below. Assume that the neurons are using Sigmoid activation function, and learning rate, n, is set to 0.7. The weights of the neural network [w1, W2, W3, W4, w5, W6, W7, w8] is set to [0.12 0.35 0.16 0.22 0.54 0.18 0.38 0.47], and the bias [b1, b2] is set to [0.26 0.14]. Given an input vector [x1, x2 ] = [0.35 0.51), and the target output [y1, y2] = [0.70 0.30]. Assuming that one iteration of forward pass and backward pass are performed on the given neural network. Answer Q10 - Q28. [Use 8 decimal places in the calculation, round each step to 8 decimal places, write your answer in 8 decimal places, e.g. 0.12345678] W1 W5 X1 hi yi W2 W6 W3 W7 X2 h2 y2 W4 W8 b2 bi 1 Q10. What is the output value of h1? * Your answer Q11. What is the output value of h2? * Your answer Q12. What is the output value of y1? * Your answer Q13. What is the output value of y2?* Your answer Q14. What is the value of the error of y1? * Your answer Q15. What is the value of the error of y2? * Your answer Q16. What is the value of total error? * Your answer Q17. What is the value of Oy1? * Your answer Q18. What is the value of Oy2? * Your answer Q19. What is the value of Sh1? * Your answer Q20. What is the value of Sh2?* Your answer Q21. What is the updated weight value of w1+? * Your answer Q22. What is the updated weight value of w2+? * Your answer Q23. What is the updated weight value of w3+? * Your answer Q24. What is the updated weight value of w4+? * Your answer Q25. What is the updated weight value of w5+? * Your answer Q26. What is the updated weight value of w6+? * Your answer Q27. What is the updated weight value of w7+? * Your answer Q28. What is the updated weight value of w8+? * Your