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2 changes: 1 addition & 1 deletion README.md
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[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliadiff.org/ForwardDiff.jl/stable)
[![](https://img.shields.io/badge/docs-latest-blue.svg)](https://juliadiff.org/ForwardDiff.jl/latest)

# ForwardDiff.jl
# ForwardDiff.jl 2

ForwardDiff implements methods to take **derivatives**, **gradients**, **Jacobians**, **Hessians**, and higher-order derivatives of native Julia functions (or any callable object, really) using **forward mode automatic differentiation (AD)**.

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