diff --git a/src/Flux.jl b/src/Flux.jl
index 526d6bb8..2acdb177 100644
--- a/src/Flux.jl
+++ b/src/Flux.jl
@@ -7,13 +7,14 @@ module Flux
 using Juno, Requires
 using Lazy: @forward
 
-export Chain, Dense, RNN, LSTM,
+export Chain, Dense, RNN, LSTM, Conv2D,
   Dropout, LayerNorm, BatchNorm,
   SGD, ADAM, Momentum, Nesterov, AMSGrad,
   param, params, mapleaves
 
 using NNlib
-export σ, sigmoid, relu, leakyrelu, elu, swish, softmax
+export σ, sigmoid, relu, leakyrelu, elu, swish, softmax,
+  conv2d, maxpool2d, avgpool2d
 
 include("tracker/Tracker.jl")
 using .Tracker
@@ -27,6 +28,7 @@ include("treelike.jl")
 
 include("layers/stateless.jl")
 include("layers/basic.jl")
+include("layers/conv.jl")
 include("layers/recurrent.jl")
 include("layers/normalisation.jl")
 
diff --git a/src/layers/conv.jl b/src/layers/conv.jl
new file mode 100644
index 00000000..f7ca6f02
--- /dev/null
+++ b/src/layers/conv.jl
@@ -0,0 +1,14 @@
+struct Conv2D{F,A}
+  σ::F
+  weight::A
+  stride::Int
+end
+
+Conv2D(k::NTuple{2,Integer}, ch::Pair{<:Integer,<:Integer}, σ = identity;
+       init = initn, stride = 1) =
+  Conv2D(σ, param(initn(k..., ch...)), stride)
+
+Flux.treelike(Conv2D)
+
+# (c::Conv2D)(x) = c.σ.(conv2d(x, c.weight, stride = c.stride))
+(c::Conv2D)(x) = c.σ.(conv2d(x, c.weight))