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Update README.md

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fixing small typo
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Gerard de Melo 2017-05-24 16:06:35 -04:00 committed by GitHub
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@ -88,7 +88,7 @@ backPropagate :: forall shapes layers.
```
which takes a network, appropriate input and target data, and returns the
back propagated gradients for the network. The shapes of the gradients are
appropriate for each layer, and may be trivial for layers like `Rulu` which
appropriate for each layer, and may be trivial for layers like `Relu` which
have no learnable parameters.
The gradients however can always be applied, yielding a new (hopefully better)