It is known that in a neural network there are three inputs, five hidden units divided into two layers, and one output as shown in picture below. Output O9 has a value of 0.4 and learning rate = 1. Calculate the error value and fix the error value by using the forward pass and backward pass methods as exemplified in the neural network material slide!

Note: If there are decimal digits, use up to three decimal places. 

i1 = 0,1 12 = 0,4 13 = 0,3 -W14 = 0,3- W24 = 0,1 W15 = 0,5 _W25 = 0,6 W35 = 0,9 W26 = 0,2 W36= 0,8- H4 y5 H5 y6 H6 -W47 = 0,5- W57 = 0,2 W67 = 0,3 W48 = 0,1 W58 = 0,8 W68= 0,3- y7 H7 y8 H8 W79 = 0,5 W89 = 0,6 y9 09