XOR example won't run with :gradient_descent

[lendle]

maxiters here should be maxiter, I think. But even if I fix that, I cannot run the XOR example with gradient descent.

I get

`setindex!` has no method matching setindex!(::ContiguousView{Float64,1,Array{Float64,1}}, ::Array{Float64,2}, ::UnitRange{Int64})

You might have used a 2d row vector where a 1d column vector was required.
Note the difference between 1d column vector [1,2,3] and 2d row vector [1 2 3].
You can convert to a column vector with the vec() function.
while loading In[8], in expression starting on line 21
 in backprop! at /home/sam/.julia/v0.3/NeuralNets/src/backprop.jl:39
 in backprop! at /home/sam/.julia/v0.3/NeuralNets/src/backprop.jl:35 (repeats 2 times)
 in g! at /home/sam/.julia/v0.3/NeuralNets/src/train.jl:93
 in fg! at /home/sam/.julia/v0.3/Optim/src/types.jl:150
 in gradient_descent at /home/sam/.julia/v0.3/Optim/src/gradient_descent.jl:56
 in optimize at /home/sam/.julia/v0.3/Optim/src/optimize.jl:328
 in train at /home/sam/.julia/v0.3/NeuralNets/src/train.jl:97

[anj1]

This was a type issue with setindex!. Closed per this commit: 44d1674