Question: Consider deep feedforward ANN with its weights and biases, specified in Figure. This ANN has one input layer, two hidden layers and one output layer.

Consider deep feedforward ANN with its weights and biases, specified in Figure. This ANN has one input layer, two hidden layers and one output layer.
For simplicity, assume, that activation function for each node is an identity function, i.e. a linear function with UNIT coefficient: g(x)=x.
For known outputs y1=369; y2=19; y3=316 and known second input x2=14, determine the first input x1, given by the positive or negative integer with absolute value less than 100(this condition can be expressed as follows: |x1|100).SUBMIT YOUR MATLAB SCRIPT FOR Task-3 AS ONE (SINGLE) FILE INTO THE WINDOW BELOW, using 'cut-and-paste' method, cutting the script from your *.M file. The first line should have: double percentage, space, and your student number with 's', similar to the pattern '%% s3456789'*I need the MATLAB codeHiddan I ovar-?
 Consider deep feedforward ANN with its weights and biases, specified in

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