$$ TASK$-4($Combination of the "BASICS" of ANNs and loops, being powerful enhancement of the simulation methods$)$ Consider recursive feedforward deep ANN with one input layer, $700$ hidden layers and one output layer. $[$An example of much simpler recursive ANN with only THREE hidden layersis shown in Figure.$]$ Assume, the same sets of weights and biases for ALL nodes of the ANN. Use the following data $($pay attention to the signs in numbers$)$: $*$ recursive given weights: w$11=0\mathrm{.}3$; w$12=0\mathrm{.}6$; w$21=0\mathrm{.}2$; w$22=0\mathrm{.}8$; $*$ recursive given biases: b$1=14$; b$2=2$; $*$ given inputs: x$1=1$; x$2=2.$