$($b$)$ A simple artificial neural network shown in Fig. $1$ should be trained so that

the network output $($desired output$)$ is $0\mathrm{.}75$ when the inputs shown in the

figure are applied to the network. Here, the NN is trained using back$-$

propagation error with learning constant $()0\mathrm{.}7$ and momentum constant

$0\mathrm{.}5.$

Activation function for all layers: $(x)=\frac{1}{1+e^{-x}}$

$($j$)$ Find the updated weights after two iteration process.

$(1$

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$($ii$)$ Calculate the difference between the actual output and desired output $(1)$

after training process.

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