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@ -38,17 +38,6 @@ But in contrast to the layers described in the other sections are not readily gr
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Maxout
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```
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# Normalisation & Regularisation
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These layers don't affect the structure of the network but may improve training times or reduce overfitting.
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```@docs
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Flux.testmode!
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BatchNorm
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Dropout
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LayerNorm
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```
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## Activation Functions
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Non-linearities that go between layers of your model. Most of these functions are defined in [NNlib](https://github.com/FluxML/NNlib.jl) but are available by default in Flux.
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