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add another link to Autograd in the readme

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Matthew Johnson 2018-12-10 07:13:51 -08:00 committed by GitHub
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@ -8,7 +8,8 @@ JAX is [Autograd](https://github.com/hips/autograd) and
[XLA](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/xla/g3doc/overview.md),
brought together for high-performance machine learning research.
With its updated version of Autograd, JAX can automatically differentiate native
With its updated version of [Autograd](https://github.com/hips/autograd),
JAX can automatically differentiate native
Python and NumPy functions. It can differentiate through loops, branches,
recursion, and closures, and it can take derivatives of derivatives of
derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation)