Julia Neural Net

nn.jl

type NeuralNet
	weight_matrices::Array{Array{FloatingPoint}}

	NeuralNet(layer_sizes::Array{Int64}) = new([
		rand(layer_sizes[i], layer_sizes[i+1]) for i in [1:length(layer_sizes)-1]
	])
end

function predict(input_vector::Array{Float64}, net::NeuralNet)
	unshift!(net.weight_matrices, input_vector)
	return reduce(*, net.weight_matrices)
end

test = NeuralNet([1, 400, 500, 2])
result = predict([0.5], test)
println(result)