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Whats true for sparse encoding learning?

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Whats true for sparse encoding learning? (a) logical And & Or operations are used for input output relations (b) weight corresponds to minimum & maximum of units are connected (c) weights are expressed as linear combination of orthogonal basis vectors (d) change in weight uses a weighted sum of changes in past input values Please answer the above question.

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The correct answer is (a) logical And & Or operations are used for input output relations For explanation I would say: sparse encoding learning employs Logical And & Or operations are used for input output relations.

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