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Microsoft
Automatic differentiation and machine learning
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD) is a technique for calculating derivatives efficiently and accurately, established in fields such as computational fluid dynamics, nuclear engineering, and atmospheric sciences. Despite its advantages and use in other ...
Mar 9, 2015
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