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adaptive wOut

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ton
2023-08-07 13:56:37 +07:00
parent 922fb1fdd9
commit d81333cbd2
1 changed files with 9 additions and 3 deletions
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12
src/learn.jl
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@@ -52,6 +52,8 @@ function lifComputeParamsChange!( phi::CuArray,
arrayProjection4d::CuArray,
nError::CuArray,
modelError::CuArray)
# Bₖⱼ in paper, sum() to get each neuron's total wOut weight
wOutSum = sum(wOut, dims=3) .* arrayProjection4d
# nError a.k.a. learning signal use dopamine concept,
@@ -59,7 +61,7 @@ function lifComputeParamsChange!( phi::CuArray,
nError .= (modelError .* arrayProjection4d) .* wOutSum
eRec .= phi .* epsilonRec
# GeneralUtils.isNotEqual(wRec, 0) is a subscribe filter use to filter out non-subscribed wRecChange
wRecChange .+= ((-1 .* eta) .* nError .* eRec) .* GeneralUtils.isNotEqual.(wRec, 0)
wRecChange .+= ((-1 .* eta) .* nError .* eRec .* sign.(wRec)) .* GeneralUtils.isNotEqual.(wRec, 0)
# error("DEBUG -> lifComputeParamsChange! $(Dates.now())")
end
@@ -75,6 +77,7 @@ function alifComputeParamsChange!( phi::CuArray,
modelError::CuArray,
beta::CuArray)
# Bₖⱼ in paper, sum() to get each neuron's total wOut weight
wOutSum = sum(wOut, dims=3) .* arrayProjection4d
# nError a.k.a. learning signal use dopamine concept,
@@ -83,7 +86,7 @@ function alifComputeParamsChange!( phi::CuArray,
eRec .= (phi .* epsilonRec) .+ (phi .* epsilonRec .* beta)
# GeneralUtils.isNotEqual(wRec, 0) is a subscribe filter use to filter out non-subscribed wRecChange
wRecChange .+= ((-1 .* eta) .* nError .* eRec) .* GeneralUtils.isNotEqual.(wRec, 0)
wRecChange .+= ((-1 .* eta) .* nError .* eRec .* sign.(wRec)) .* GeneralUtils.isNotEqual.(wRec, 0)
# error("DEBUG -> alifComputeParamsChange! $(Dates.now())")
end
@@ -101,7 +104,7 @@ function onComputeParamsChange!(phi::CuArray,
eRec .= (phi .* epsilonRec) .* reshape(outputError, (1, 1, :, size(epsilonRec, 4)))
# GeneralUtils.isNotEqual(wRec, 0) is a subscribe filter use to filter out non-subscribed wRecChange
wOutChange .+= ((-1 .* eta) .* eRec) .* GeneralUtils.isNotEqual.(wOut, 0)
wOutChange .+= ((-1 .* eta) .* eRec .* sign.(wOut)) .* GeneralUtils.isNotEqual.(wOut, 0)
# error("DEBUG -> onComputeParamsChange! $(Dates.now())")
end
@@ -249,6 +252,9 @@ function onLearn!(wOut,
# merge learning weight
wOut .+= (sum(wOutChange) ./ (size(wOut, 4))) .* arrayProjection4d
# adaptive wOut to help convergence using c_decay
wOut .-= 0.001 .* wOut
#TODO synaptic strength
#TODO neuroplasticity