To implement two perceptrons that can perform the classification tasks of $1)$ and $2)$ below, respectively. Requirement: $1)$ You must have a biased neuron in the input layer. Remember that we have $16$ samples available. You may divide them into some for training and some for testing. Implement the perceptron to recognize $4$ blocks image to make a decision if an image is BRIGHT or DARK. Remember that we have $16$ samples for the input. $$ If it contains $2,3$ or $4$ white pixels, it is $$bright$$ If it contains $0$ or $1$ white pixels, it is $$dark$2)$ Design a new perceptron $($with a biased neuron$)$ for real$-$world applications of your own choice, NOT toy examples such as AND Boolean function. Your design must be shown on your PDF file.