Suppose we have a linearly separable dataset, and we divide the data into training and validation sets. Will a perceptron learned on the training dataset (assuming gradient decent works perfectly well) be guaranteed to have i) 0 error on the training dataset ii) 0 error on the validation dataset. Brie y explain. (10 points)

Read these lines from beowulf.often scyld scefing seized mead-benches from enemytroops, from many a clan, he terrified warriors, even thoughfirst he was found a waif, best explains why the author includes this information in theexposition? a. to emphasize that a hero must learn to be fierceb. to remember the famous story of a popular heroc. to express sadness about losing the old heroesd. to see whether people still respect the old heroes