Question: For 2-class perceptron with margin algorithm, using basic sequential GD, fixed increment, prove convergence for linearly separable training data by modifying the perceptron convergence proof

For 2-class perceptron with margin algorithm, using basic sequential GD, fixed increment, prove convergence for linearly separable training data by modifying the perceptron convergence proof covered in class. You may write out the proof, or you may take the 3- page proof from the attached handout (or from lecture), and mark up the proof to show all changes as needed. If you mark up the existing proof, be sure to mark everything that needs changing (3g, if a change propagates through the proof, be sure to make all changes for a complete answer), and please make your mark-ups stand out for readability

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