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wkwk=wkwkCx. Then we choose another training input, and update the weights and biases again. And so on, repeatedly. This procedure is known as online, on-line,

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wkwk=wkwkCx. Then we choose another training input, and update the weights and biases again. And so on, repeatedly. This procedure is known as online, on-line, or incremental learning. In online learning, a neural network learns from just one training input at a time (just as human beings do). Name one advantage and one disadvantage of online learning, compared to stochastic gradient descent with a mini-batch size of, say, 20

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