Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming

NeurIPS 2018 Bart van MerriënboerDan MoldovanAlexander B Wiltschko

The need to efficiently calculate first- and higher-order derivatives of increasingly complex models expressed in Python has stressed or exceeded the capabilities of available tools. In this work, we explore techniques from the field of automatic differentiation (AD) that can give researchers expressive power, performance and strong usability... (read more)

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