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0. We provide a training input x to a perceptron learning rule. The desired output is t and the actual output is o. If learning rate is η, the weight update performed by the learning rule is given by the equation?
wi ← wi + η(t − o)
wi ← wi + η(t − o)x
wi ← η(t − o)x
wi ← wi + (t − o)
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