mapping function from list to data

Question

I am looking at changing the hnn package to support different activation functions for every node in a network.

In particular, this line and this line use specific function (activation), but I am trying to extended that to support something like:

evalNet n@(Network{..}) inputs activations = do
    s <- foldM (\x -> computeStepM n x (activations!!N)) state inputsV

where N is the node id/index.

Currently I am a stage where I have my list of activation functions of the same length as amount of nodes in the network.

I need help (as I am lost in the package source code) to find a way to apply Nth activations function from the list.

EDIT: I have tried StateT approach using tick (from documentation) and using zip function, both give multiple executions per every step, so the final result becomes wrong

sdx23 · Accepted Answer · 2015-05-31 10:31:57Z

3

For the map you may want something like

as = [(+1),(*2),(+(-3))]
xs = [4,5,6]
main = print $ zipWith ($) as xs

The fold is more complicated but can be done with using the same idea: Zip the inputs with according activation functions and change the function-folded-over to use the values of the incoming tuples.

However, I doubt you really need/want to change the fold. If I'm not mistaken the fold should just pass on the activation-functions list. So there's actually nothing to do.

answered May 31, 2015 at 10:31

sdx23

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4 Comments

Boris Mocialov Over a year ago

So, would it be possible then to do: zipWith activations $! zipVectorWith (-) (weights <> prefixed) thresh instead of line 93 ?

Boris Mocialov Over a year ago

I guess this makes sense. Tested gist.githubusercontent.com/rememmber/caf1401e60d7a99d48fa/raw/…

Boris Mocialov Over a year ago

BUT! computeStep in my opinion does not have ALL the data. Therefore list sizes would be different

dfeuer Over a year ago

Another option might be to use StateT to add the index counter.

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