Q4. Suppose our system is learning to recognize puppies and kittens from 80x80 pixel RGB images. Let x be a vector storing the pixel intensity values of the three color components for all the pixels. (a) If we train a logistic regression system with only the terms x1 as features, how many features do we have? (b) If we train a logistic regression system with all the quadratic terms (x;x;) as features, how many features do you have?

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