Automatic Differentiation Can Be Incorrect
NeutralTechnology
A recent discussion highlights potential inaccuracies in automatic differentiation, a technique widely used in machine learning and optimization. This matters because while automatic differentiation is a powerful tool, understanding its limitations is crucial for developers and researchers to avoid errors in their computations.
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