Gradient descent is often a type of nearby research that optimizes a list of numerical parameters by incrementally adjusting them to attenuate a decline operate. Variants of gradient descent are generally accustomed to train neural networks.[80][42] Details benefit idea may be used to weigh the value of exploratory or experimental steps.[43] The Ar

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