Example Given the following multiple neural network [deep learning with a training data points i= [ii =O.i ,i2=O.2,i3=O.7],target value l=[li=i.0,l2=0.0,l3=0.0],learning rate=0.8 and the bias value at each layers lo=[i .0,l .0,i .0] - Initialize the weights randomly. - Forward pass the inputs and calculate the cost. - Apply backpropagation and adjust the weights accordingly for 2 epoch Input I11 h2 Output Relu Sigmoid Somax