The table below shows one iteration of gradient descent learning for the given data and a neuron with a linear activation function. Calculate and report the value of the loss function $($mean squared error$)$ for the given weights. NOTE: round and report in $x.xx$

$J()=\frac{1}{2N}{\displaystyle \underset{n=1}{\overset{N}{}}}(d^{(n)}-y^{(n)}{)}^2$

$\backslash$table$[[$Xo X$1$ X$2,$d w$0$ w$1$ w$2,,,,,,],[1,1,1,1,1,1,1,3],[1,1,0,1,1,1,1,2],[1,0,1,0,1,1,1,2],[1,-1,-1,0,1,1,1,-1]]$