Define an Artificial Neuron Network $($ANN$)$model as;

$-5$input$,2$hidden layer with $4$neurons each and $1$outputs$.$ The weight coefficients will be chosen randomly $\backslash ([0,1]\backslash ).$

$-$For activation functions: linear, threshold, sigmoid non$-$linear cases.

First draw the ANN structure and then apply $3$different activation functions. Then curve outputs of the ANN structure.