diff --git a/docs/src/.vitepress/config.mts b/docs/src/.vitepress/config.mts
index 171b55be5..dafa3b08e 100644
--- a/docs/src/.vitepress/config.mts
+++ b/docs/src/.vitepress/config.mts
@@ -89,7 +89,9 @@ export default defineConfig({
                         text: 'Building Blocks', items: [
                             { text: 'LuxCore', link: '/api/Building_Blocks/LuxCore' },
                             { text: 'LuxLib', link: '/api/Building_Blocks/LuxLib' },
-                            { text: 'WeightInitializers', link: '/api/Building_Blocks/WeightInitializers' }
+                            { text: 'WeightInitializers', link: '/api/Building_Blocks/WeightInitializers' },
+                            { text: 'NNlib', link: 'https://fluxml.ai/NNlib.jl/dev/' },
+                            { text: 'Activation Functions', link: 'https://fluxml.ai/NNlib.jl/dev/reference/#Activation-Functions' }
                         ]
                     },
                     {
@@ -203,7 +205,9 @@ export default defineConfig({
                         text: 'Building Blocks', collapsed: false, items: [
                             { text: 'LuxCore', link: '/api/Building_Blocks/LuxCore' },
                             { text: 'LuxLib', link: '/api/Building_Blocks/LuxLib' },
-                            { text: 'WeightInitializers', link: '/api/Building_Blocks/WeightInitializers' }]
+                            { text: 'WeightInitializers', link: '/api/Building_Blocks/WeightInitializers' },
+                            { text: 'NNlib', link: 'https://fluxml.ai/NNlib.jl/dev/' },
+                            { text: 'Activation Functions', link: 'https://fluxml.ai/NNlib.jl/dev/reference/#Activation-Functions' }]
                     },
                     {
                         text: 'Domain Specific Modeling', collapsed: false, items: [
diff --git a/src/layers/basic.jl b/src/layers/basic.jl
index 7c9a30f88..9513fd3b4 100644
--- a/src/layers/basic.jl
+++ b/src/layers/basic.jl
@@ -15,6 +15,22 @@ Reshapes the passed array to have a size of `(dims..., :)`
 
   - AbstractArray of size `(dims..., size(x, ndims(x)))`
   - Empty `NamedTuple()`
+
+## Example
+
+```jldoctest
+julia> model = ReshapeLayer((2, 2))
+ReshapeLayer(output_dims = (2, 2, :))
+
+julia> rng = Random.default_rng();
+       Random.seed!(rng, 0);
+       ps, st = Lux.setup(rng, model);
+       x = randn(rng, Float32, (4, 1, 3));
+
+julia> y, st_new = model(x, ps, st);
+       size(y)
+(2, 2, 3)
+```
 """
 struct ReshapeLayer{N} <: AbstractExplicitLayer
     dims::NTuple{N, Int}
@@ -48,6 +64,22 @@ Flattens the passed array into a matrix.
 
   - AbstractMatrix of size `(:, size(x, ndims(x)))`
   - Empty `NamedTuple()`
+
+## Example
+
+```jldoctest
+julia> model = FlattenLayer()
+FlattenLayer()
+
+julia> rng = Random.default_rng();
+       Random.seed!(rng, 0);
+       ps, st = Lux.setup(rng, model);
+       x = randn(rng, Float32, (2, 2, 2, 2));
+
+julia> y, st_new = model(x, ps, st);
+       size(y)
+(8, 2)
+```
 """
 @kwdef @concrete struct FlattenLayer <: AbstractExplicitLayer
     N = nothing
@@ -100,6 +132,22 @@ end
 
 As the name suggests does nothing but allows pretty printing of layers. Whatever input is
 passed is returned.
+
+# Example
+
+```jldoctest
+julia> model = NoOpLayer()
+NoOpLayer()
+
+julia> rng = Random.default_rng();
+       Random.seed!(rng, 0);
+       ps, st = Lux.setup(rng, model);
+       x = 1
+1
+
+julia> y, st_new = model(x, ps, st)
+(1, NamedTuple())
+```
 """
 struct NoOpLayer <: AbstractExplicitLayer end
 
diff --git a/src/layers/containers.jl b/src/layers/containers.jl
index 9a59c3fa7..a11434a7e 100644
--- a/src/layers/containers.jl
+++ b/src/layers/containers.jl
@@ -122,6 +122,26 @@ with `connection`.
     `fields = layer_1, layer_2, ..., layer_N` (naming changes if using the kwargs API)
 
 See also [`SkipConnection`](@ref) which is `Parallel` with one identity.
+
+## Example
+
+```jldoctest
+julia> model = Parallel(nothing, Dense(2, 1), Dense(2, 1))
+Parallel(
+    layer_1 = Dense(2 => 1),            # 3 parameters
+    layer_2 = Dense(2 => 1),            # 3 parameters
+)         # Total: 6 parameters,
+          #        plus 0 states.
+
+julia> using Random;
+       rng = Random.seed!(123);
+       ps, st = Lux.setup(rng, model);
+       x1 = randn(rng, Float32, 2);
+       x2 = randn(rng, Float32, 2);
+
+julia> size.(first(model((x1, x2), ps, st)))
+((1,), (1,))
+```
 """
 @concrete struct Parallel{T <: NamedTuple} <: AbstractExplicitContainerLayer{(:layers,)}
     connection