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minor autograd reference change in readme (#3144)

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Sebastian Raschka
2017-10-17 04:16:06 -04:00
committed by Adam Paszke
parent 9d4d0640f2
commit f176c864f0
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README.md
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@ -89,7 +89,7 @@ Changing the way the network behaves means that one has to start from scratch.
With PyTorch, we use a technique called reverse-mode auto-differentiation, which allows you to
change the way your network behaves arbitrarily with zero lag or overhead. Our inspiration comes
from several research papers on this topic, as well as current and past work such as
[autograd](https://github.com/twitter/torch-autograd),
[torch-autograd](https://github.com/twitter/torch-autograd),
[autograd](https://github.com/HIPS/autograd),
[Chainer](http://chainer.org), etc.