Q$\mathrm{.}2$ Define multi$-$layer perceptron and its working. A two$-$layer network is to have four inputs and six outputs. The range of the outputs is to be continuous between $0$ and $1.$ What can you tell about the network architecture? Specifically,

$($a$)$ How many neurons are required in each layer?

$($b$)$ What are the dimensions of the first$-$layer and second$-$layer weight matrices? $($Hidden layer neurons are $5)$