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1. What is supervised learning? a) weight adjustment based on deviation of desired output from actual output b) weight adjustment based on desired output only c) weight adjustment based on actual output only d) none of the mentioned 2. Supervised learning may be used for? a) temporal learning b) structural learning c) both temporal &…

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