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

@@ -36,7 +36,7 @@ julia> m(ones(2, 7))  # test mode, no effect
  2.0  2.0  2.0  2.0  2.0  2.0  2.0
  2.0  2.0  2.0  2.0  2.0  2.0  2.0
 
-julia> Flux.trainmode!(m);  # would happen within gradient
+julia> Flux.trainmode!(m);  # equivalent to use within gradient
 
 julia> m(ones(2, 7))
 3×7 Matrix{Float64}:
@@ -48,11 +48,11 @@ julia> y = m(ones(2, 10_000));
 
 julia> using Statistics
 
-julia> mean(y)  # is about 2.0, as for test mode
-1.9892222222222182
+julia> mean(y)  # is about 2.0, same as in test mode
+1.9989999999999961
 
 julia> mean(iszero, y)  # is about 0.4
-0.40323333333333333
+0.4003
 ```
 """
 mutable struct Dropout{F<:Real,D,R<:AbstractRNG}