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Ordinary gradient descent can get caught at a neighborhood minimum as an alternative to a world minimal, leading to a subpar community. In normal gradient descent, we just take all our rows and plug them into your similar neural community, Consider the weights, after which you can alter them.Di sisi lain, product deep learning dapat memahami data y

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