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Fix more cross-references
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docs/src/api/reference.md

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@@ -9,6 +9,9 @@ Modules = [Metalhead]
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```
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```@docs
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Metalhead.create_classifier
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Metalhead.squeeze_excite
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Metalhead.LayerScale
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Metalhead.DropBlock
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Metalhead.StochasticDepth
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```

docs/src/tutorials/quickstart.md

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using Flux, Metalhead
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```
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Using a model from Metalhead is as simple as selecting a model from the table of [available models](@ref). For example, below we use the pre-trained ResNet-18 model.
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Using a model from Metalhead is as simple as selecting a model from the table of [available models](@ref API-Reference). For example, below we use the pre-trained ResNet-18 model.
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```julia
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using Flux, Metalhead
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src/convnets/builders/mbconv.jl

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Creates a block builder for `irblockfn` within a given stage.
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Note that this function is not intended to be called directly, but instead passed to
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[`mbconv_stage_builder`](@ref) which will return a builder over all stages.
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[`Metalhead.mbconv_stage_builder`](@ref) which will return a builder over all stages.
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Users wanting to provide a custom inverted residual block type can extend this
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function by defining `invresbuilder(::typeof(my_block), ...)`.
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"""

src/utilities.jl

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Convenience function for applying an activation function to the output after
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summing up the input arrays. Useful as the `connection` argument for the block
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function in [`resnet`](@ref).
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See also [`reluadd`](@ref).
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"""
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addact(activation = relu, xs...) = activation(sum(xs))
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Convenience function for adding input arrays after applying an activation
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function to them. Useful as the `connection` argument for the block function in
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[`resnet`](@ref).
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See also [`addrelu`](@ref).
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"""
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actadd(activation = relu, xs...) = sum(activation.(x) for x in xs)
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