Derive the perceptron training rule and gradient descent training rule for a single unit with output , where 0 1 1 1 1 2 n 2 What are the advantages of using gradient descent training rule for training neural networks over the perceptron training rule

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Question: Derive the perceptron training rule and gradient descent training rule for a single unit with output , where = 0 + 1 1 + 1

Derive the perceptron training rule and gradient descent training rule for a single unit with output , where = ₀ + ₁₁ + ₁₁²+ + + _n² . What are the advantages of using gradient descent training rule for training neural networks over the perceptron training rule?

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