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Gradient descent is actually a form of area lookup that optimizes a set of numerical parameters by incrementally modifying them to reduce a reduction purpose. Variants of gradient descent are generally accustomed to practice neural networks.[80][forty two] Facts benefit idea can be used to weigh the value of exploratory or experimental steps.[forty