bytes on 1.11, and revert a fix

FluxML · Dec 4, 2024 · 784ae8f · 784ae8f
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diff --git a/docs/src/guide/models/basics.md b/docs/src/guide/models/basics.md
@@ -341,7 +341,7 @@ Chain(
   Dense(1 => 20, σ),                    # 40 parameters
   Dense(20 => 1),                       # 21 parameters
   only,
-)                   # Total: 4 arrays, 61 parameters, 500 bytes.
+)                   # Total: 4 arrays, 61 parameters, 452 bytes.
 ```
 
 How does this `model2` differ from the `model1` we had before?

diff --git a/docs/src/guide/models/overview.md b/docs/src/guide/models/overview.md
@@ -95,7 +95,7 @@ Under the hood, the Flux [`Flux.train!`](@ref) function uses *a loss function* a
 julia> using Flux: train!
 
 julia> opt = Descent()
-Descent(0.1)
+Descent(0.1f0)
 
 julia> data = [(x_train, y_train)]
 1-element Vector{Tuple{Matrix{Int64}, Matrix{Int64}}}: