what is the best split between a1 and a2 using above data set

input x1, output of logistic regression is given by 1/(1+exp(w0w1x1)). i) What will be value of the loss function at t? ii) What will be the values of wo, and w1 at (t+1) with learning rate =1 ? iii) What will be the values of wo, and w1 at ( t+1 ) with learning rate =1 and L2 (ridge) regularization constant =1 ? B. Consider a weighted regression problem where response variable y is a linear combination of two Gaussian basis functions centered around 1 and +1 with variance 1 and 2 , respectively, i.e., y=w1e2(x+1)2+w2e4(x1)2 where, x if the predictor variable. Obtain the optimal values of w1 and w2 if target values y=1 for x=1 and x=1. What will be the optimal error of fit? What will be estimated response y, if x=0