Recur(cell)

Recur takes a recurrent cell and makes it stateful, managing the hidden state in the background. cell should be a model of the form:

			h, y = cell(h, x...)

For example, here's a recurrent network that keeps a running total of its inputs:

Examples

			julia> accum(h, x) = (h + x, x)
accum (generic function with 1 method)

julia> rnn = Flux.Recur(accum, 0)
Recur(accum)

julia> rnn(2) 
2

julia> rnn(3)
3

julia> rnn.state
5

Folding over a 3d Array of dimensions (features, batch, time) is also supported:

			julia> accum(h, x) = (h .+ x, x)
accum (generic function with 1 method)

julia> rnn = Flux.Recur(accum, zeros(Int, 1, 1))
Recur(accum)

julia> rnn([2])
1-element Vector{Int64}:
 2

julia> rnn([3])
1-element Vector{Int64}:
 3

julia> rnn.state
1×1 Matrix{Int64}:
 5

julia> out = rnn(reshape(1:10, 1, 1, :));  # apply to a sequence of (features, batch, time)

julia> out |> size
(1, 1, 10)

julia> vec(out)
10-element Vector{Int64}:
  1
  2
  3
  4
  5
  6
  7
  8
  9
 10

julia> rnn.state
1×1 Matrix{Int64}:
 60