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Machine learning algorithms can constantly strengthen their accuracy and further lessen errors as they're exposed to additional data and "learn" from experience.Or else, no data is passed along to the subsequent layer on the network by that node. The “deep” in deep learning is simply referring to the amount of layers within a neural network. A