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Update docs/src/models/basics.md 

Co-Authored-By: Carlo Lucibello <carlo.lucibello@gmail.com>
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Dhairya Gandhi 2020-02-12 11:26:11 +05:30 committed by GitHub
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@ -231,7 +231,7 @@ Flux.trainable(a::Affine) = (a.W, a.b,)
Only the fields returned by `trainable` will be collected as trainable parameters of the layer when calling `Flux.params`.
Another way of achieving this is through the `@functor` macro. Here, wee can mark the fields we are interested in like so:
Another way of achieving this is through the `@functor` macro. Here, we can mark the fields we are interested in by grouping them in the second argument:
```julia
Flux.@functor Affine (W,)
```