diff --git a/src/layers/normalise.jl b/src/layers/normalise.jl
index 091b52d60c..bdac1ad4d7 100644
--- a/src/layers/normalise.jl
+++ b/src/layers/normalise.jl
@@ -46,6 +46,12 @@ function dropout_mask(x, p; dims=:)
   return y
 end
 
+function dropout_mask(x::Array{Complex{Float64}}, p; dims=:)
+  y = rand!(similar(x, Float64, _dropout_shape(x, dims)))
+  y .= _dropout_kernel.(y, p, 1 - p)
+  return y
+end
+
 """
     Dropout(p; dims=:)
 
@@ -457,4 +463,4 @@ scale parameters, `false` otherwise.
 
 See [`BatchNorm`](@ref), [`InstanceNorm`](@ref), [`GroupNorm`](@ref), and [`LayerNorm`](@ref).
 """
-hasaffine(l::Union{BatchNorm, InstanceNorm, LayerNorm, GroupNorm}) = l.affine
\ No newline at end of file
+hasaffine(l::Union{BatchNorm, InstanceNorm, LayerNorm, GroupNorm}) = l.affine
diff --git a/test/layers/normalisation.jl b/test/layers/normalisation.jl
index 89c2f4803e..a67dd43615 100644
--- a/test/layers/normalisation.jl
+++ b/test/layers/normalisation.jl
@@ -4,6 +4,11 @@ using Zygote: pullback
 evalwgrad(f, x...) = pullback(f, x...)[1]
 
 @testset "Dropout" begin
+  x = [1.0+0im,2.0+1im,3.0+3im]
+  @test x == Dropout(0.1)(x)
+  @test x == evalwgrad(Dropout(0), x)
+  @test zero(x) == evalwgrad(Dropout(1), x)
+  
   x = [1.,2.,3.]
   @test x == Dropout(0.1)(x)
   @test x == evalwgrad(Dropout(0), x)