Given the following multiple neural network /deep learning with a training data points i= [i]=0.1,12=0.2,13=0.7], target value I=[11=1.0,12=0.0.13=0.0],learning rate=0.8 and the bias value at each layers b=[1.0.1.0,1.0] Initialize the weights randomly. Forward pass the inputs and calculate the cost. Apply backpropagation and adjust the weights accordingly for 2 epoch Input Output hi h2 Wan WM W. W WA Wik WA Web W. W Wan Wan Wa WAND W. Wa WA W Wan WA W WA W W Wor W W Relu Sigmoid Softmax