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Gradient descent is actually a form of nearby research that optimizes a list of numerical parameters by incrementally adjusting them to minimize a loss functionality. Variants of gradient descent are generally utilized to prepare neural networks.[80]Another definition has long been adopted by Google,[329] A significant practitioner in the field of