fixup

Author: mcabbott

docs/src/tutorials/linear_regression.md

@@ -273,7 +273,7 @@ julia> dataset = BostonHousing();
 
 julia> x, y = BostonHousing(as_df=false)[:];
 
-julia> x, y = Float32.(x), Float32.(y)
+julia> x, y = Float32.(x), Float32.(y);
 ```
 
 We can now split the obtained data into training and testing data -

src/layers/normalise.jl

@@ -81,7 +81,7 @@ julia> m = Chain(Dense(1000 => 1000), Dropout(0.5));
 
 julia> Flux.trainmode!(m);
 
-julia> y = m(ones(1000));
+julia> y = m(ones32(1000));
 
 julia> isapprox(count(==(0), y) / length(y), 0.5, atol=0.1)
 true