Created
March 10, 2017 15:54
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using owl to build a trivial nn sing AD module from scratch
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open Owl_algodiff_ad | |
type layer = { mutable w : t; mutable b : t; a : t -> t } | |
type network = { layers : layer array } | |
let run_layer x l = Maths.((x $@ l.w) + l.b) |> l.a | |
let run_network x nn = Array.fold_left run_layer x nn.layers | |
let backprop nn eta epoch x y = | |
let t = tag () in | |
for i = 1 to epoch do | |
Array.iter (fun l -> | |
l.w <- make_reverse l.w t; | |
l.b <- make_reverse l.b t; | |
) nn.layers; | |
Maths.(l2norm_sqr((run_network x nn) - y)) |> reverse_prop (F 1.); | |
Array.iter (fun l -> | |
l.w <- Maths.((primal l.w) - (eta * (adjval l.w))) |> primal; | |
l.b <- Maths.((primal l.b) - (eta * (adjval l.b))) |> primal; | |
) nn.layers; | |
done |
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