7. Consider the following network:
$w_{11} = 0.15$
$w_{31} = 0.40$
$X_1$
$h_1$
$O_1$
0.05
0.01
$X_2$
$w_{22} = 0.30$
$h_2$
$w_{42} = 0.55$
$O_2$
0.10
0.99
Given the cross-weights are: $w_{12} = 0.25$, $w_{21} = 0.20$, $w_{32} = 0.50$ and $w_{41} =$
0.45. Also let the bias terms be $b_1 = 0.35$ and $b_2 = 0.60$. Compute the net
error, assuming MSE as loss function:
$MSE = \frac{1}{n} \sum_{i=1}^{n} (y_i - \hat{y_i})^2$
Also compute the updated $w_{11}$ and $w_{31}$ (let learning rate be 0.6).
