diff --git a/src/layers/normalise.jl b/src/layers/normalise.jl
index 95599867..c3a144f4 100644
--- a/src/layers/normalise.jl
+++ b/src/layers/normalise.jl
@@ -26,7 +26,7 @@ _dropout_shape(s, dims) = tuple((i ∉ dims ? 1 : si for (i, si) ∈ enumerate(s
 
 _dropout_kernel(y::T, p, q) where {T} = y > p ? T(1 / q) : T(0)
 
-function (a::Dropout)(x)
+function dropout(x, p; dims = :)
   istraining() || return x
   y = similar(x)
   rand!(y)
@@ -34,6 +34,11 @@ function (a::Dropout)(x)
   return x .* y
 end
 
+function (a::Dropout)(x)
+  istraining() || return x
+  return dropout(x, a.p; dims = a.dims)
+end
+
 """
     AlphaDropout(p)
 A dropout layer. It is used in Self-Normalizing Neural Networks.