The output layer (L) of a neural network has two neurons with sigmoid activation functions. The last hidden layer (L-1) also has two neurons. Find out the value of x and y from the given data where notations are used as reviewed in the lecture sessions. . Show all the calculations. Direct answers or copy and paste from web/any tool/language will not be accepted. [5 Marks] WL=[x32y],BL=[12],HL1=[45]andY^=[0.40.6]