A zero$-$bias autoencoder has $3$ input neurons, $1$ hidden neuron and $3$ output neurons. If the network is perfectly trained using an input $\left[\begin{array}{c}2\\ 3\\ 5\end{array}\right].$ What would be the values of the weights in the autoencoder?

a$.\left[\begin{array}{ccc}1& 1& 1\end{array}\right],\left[\begin{array}{c}2\\ 3\\ 5\end{array}\right]$

b$.\left[\begin{array}{ccc}1& 1& 1\end{array}\right],\left[\begin{array}{c}0\mathrm{.}2\\ 0\mathrm{.}3\\ 0\mathrm{.}5\end{array}\right]$

c$.\left[\begin{array}{ccc}0\mathrm{.}2& 0\mathrm{.}3& 0\mathrm{.}5\end{array}\right],\left[\begin{array}{c}1\\ 1\\ 1\end{array}\right]$

d$.\left[\begin{array}{ccc}2& 3& 5\end{array}\right],\left[\begin{array}{c}1\\ 1\\ 1\end{array}\right]$