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Usual gradient descent will get caught at an area minimum as an alternative to a world minimum, leading to a subpar community. In ordinary gradient descent, we consider all our rows and plug them to the similar neural network, Check out the weights, and after that modify them.Di sisi lain, design deep learning dapat memahami data yang tidak terstru