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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), [XLA](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/xla/g3doc/overview.md),
brought together for high-performance machine learning research. 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, Python and NumPy functions. It can differentiate through loops, branches,
recursion, and closures, and it can take derivatives of derivatives of recursion, and closures, and it can take derivatives of derivatives of
derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation)