Moh*_*ani 1 machine-learning neural-network julia
在使用Julia实现 ML 期间,我想创建一个空数组,该数组采用 W 的矩阵,因此所有 W 都用于表示法和索引
像第 1 层 on W[1],对于第 2 层W[2],其中 W 是以下类型Vector{Matrix{Float64}}
我尝试了以下
julia> W = Vector{Matrix{Float64}}()
0-element Array{Array{Float64,2},1}
julia> append!(W, randn(2,3))
ERROR: MethodError: Cannot `convert` an object of type Float64 to an object of type Array{Float64,2}
Closest candidates are:
convert(::Type{T}, ::AbstractArray) where T<:Array at array.jl:490
convert(::Type{T}, ::T) where T<:AbstractArray at abstractarray.jl:14
convert(::Type{T}, ::LinearAlgebra.Factorization) where T<:AbstractArray at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/LinearAlgebra/src/factorization.jl:53
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即使我尝试过push!它也返回了一些奇怪的东西
julia> push!(W, randn(2,3))
7-element Array{Array{Float64,2},1}:
#undef
#undef
#undef
#undef
#undef
#undef
[1.0062340094124418 -0.38626851094866743 -0.33618129619245823; 0.015522767526406687 0.28674191528121296 -1.0633951718710888]
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真正的解决方案是使用push!而不是append!. 如果您在 REPL 中提供帮助(按?),您可以查看以下文档push!:
help?> push!
search: push! pushfirst! pushdisplay
push!(collection, items...) -> collection
Insert one or more items at the end of collection.
Examples
??????????
julia> push!([1, 2, 3], 4, 5, 6)
6-element Array{Int64,1}:
1
2
3
4
5
6
Use append! to add all the elements of another collection to collection. The result of the preceding example is
equivalent to append!([1, 2, 3], [4, 5, 6]).
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