For a particular problem, consider a training set of size five as shown in Table $1.$

I

a$)$ Decide a minimally configured Vanila network that you should consider to boild a prediction

model with the given training data set. Justity the configuration li$.$e$,$ the number of perceptrons

in each layes$)$ of your proposed network.

b$)$ For the network, you have given compute the following.

Output of the input layer

ii$.$ Input to the hidden layer

if$.$ Outpul from the hidden lager

iv$.$ input to the output layer

v$.$ Output from the outpin layer

Results of each layer computation should be expressed in matrix notation.

c$)$ Show the model parameters when the retwork got updated with any one training data. Show

each step of the learring clearly

$2\mathrm{.}5+51+5=12\mathrm{.}5$