Final changes

src/layers/conv.jl

@@ -1,6 +1,6 @@
 using NNlib: conv
 
-@generated sub2(::Type{Val{N}}) where N = :(Val{$(N-2)})
+@generated sub2(::Type{Val{N}}) where N = :(Val($(N-2)))
 
 expand(N, i::Tuple) = i
 expand(N, i::Integer) = ntuple(_ -> i, N)
@@ -32,7 +32,7 @@ Conv(w::AbstractArray{T,N}, b::AbstractVector{T}, σ = identity;
 
 Conv(k::NTuple{N,Integer}, ch::Pair{<:Integer,<:Integer}, σ = identity; init = initn,
      stride = 1, pad = 0, dilation = 1) where N =
-  Conv(param(init(k..., ch...)), param(zero(ch[2])), σ,
+  Conv(param(init(k..., ch...)), param(zeros(ch[2])), σ,
        stride = stride, pad = pad, dilation = dilation)
 
 @treelike Conv

src/tracker/Tracker.jl

@@ -77,8 +77,7 @@ include("numeric.jl")
 
 Hook into gradient backpropagation. `x` is unmodified, but when backpropagating
 `f` will be applied to the incoming gradient. For example, `hook(-, x)` will reverse
-the sign of the gradient applied to `x`.
-"""
+the sign of the gradient applied to `x`."""
 hook(f, x) = istracked(x) ? track(hook, f, x) : x
 @grad hook(f, x) = data(x), Δ -> (nothing, f(Δ))