Add Depthwise Convolution is Docs

docs/src/models/convolution.md

@@ -0,0 +1,21 @@
+# Additional Convolution Models
+
+## Depthwise Convolutions
+
+Using Depthwise Convolutions is pretty straightforword and much similar
+to the usage of normal Convolutions. So simply we can swap in a
+Depthwise Convolution in place of a Convolution.
+
+Lets say we have to define a simple convolution layer like
+```julia
+m = Conv((3, 3), 3=>64, pad = (1, 1))
+```
+
+The alternative to this using a Depthwise Convolution would be
+```julia
+m = Chain(DepthwiseConv((3, 3), 3=>2, pad = (1, 1)),
+          Conv((1, 1), 6=>64))
+```
+
+Incase the second argument to `DepthwiseConv` is an `Integer` instead of a
+`Pair` the channel multiplier is taken to be 1.

docs/src/models/layers.md

@@ -8,6 +8,12 @@ Dense
 Conv
 ```
 
+## Additional Convolution Layer
+
+```@docs
+DepthwiseConv
+```
+
 ## Recurrent Layers
 
 Much like the core layers above, but can be used to process sequence data (as well as other kinds of structured data).