Question # 2 (10 points) Design a neural network to distinguish between two groups of subjects: Normal and Patient using neural network The classification is based on four factors: CEI, F2, F3, and F4). A prototype Normal subject would be represented by an input vector P1 and a prottype Patient subject would be represented by P2 FIA F3 1F4 a Can a simple perceptron network do the tisk? If Yes,sketch the actuali network b Design a Hamming network to classity between the two groups Estimate the weight structure you need? and bias values you need for the design Sketch a general Hamming netsork and show on it the size you need at each stage e. Test parts b by applying the two diferent input patterns Pl and P2 d. Suggest a lHopfield netwerk to di tbe classification task Shetkct a general Hopfield network and show en it she size you need at such sdace