1. Answer questions below for the following neural network: H1(1)=g1(1)(w10(1)+w11(1)X1+w12(1)X2)H2(1)=g2(1)(w20(1)+w21(1)X1+w22(1)X2)H1(2)=g1(1)(w10(2)+w11(2)H1(1)+w12(2)H2(1))H2(2)=g2(1)(w20(2)+w21(2)H1(1)+w22(2)H2(1))=g()(w0()+w1()H1(2)+w2()H2(2))YBernoulli() here g()(x)=1+exp(x)exp(x)gi(l)(x)=max(0,x)fori=1,2andl=1,2 a. Find the partial derivative /w12(1). b. Using the result in a, find the partial derivative of the log likelihood function with respect to w12(1)