Added a icon (as svg)

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Dominik Moritz Roth 2021-10-24 11:30:25 +02:00
parent e52a1e1bd6
commit f182d6b740
2 changed files with 187 additions and 1 deletions

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# Project PetriDish # Project PetriDish
![Logo](/home/dodox/Pictures/Inkscape/PetriDish.svg)
Quick and dirty PoC for the idea behind Project Neuromorph. Quick and dirty PoC for the idea behind Project Neuromorph.
Combines PonderNet and SparseLinear. Combines PonderNet and SparseLinear.
PonderNet stolen from https://github.com/jankrepl/mildlyoverfitted/blob/master/github_adventures/pondernet PonderNet stolen from https://github.com/jankrepl/mildlyoverfitted/blob/master/github_adventures/pondernet
@ -9,4 +12,4 @@ A neural network comprised of a set of neurons that are connected using a set of
We train this net like normal; but we also allow the structure of the synapctic connections to change during training. (Number of neurons remains constant; this is also variable in Neuromorph; Neuromorph will also use more advanced algorithms to decide where to spawn new synapses) We train this net like normal; but we also allow the structure of the synapctic connections to change during training. (Number of neurons remains constant; this is also variable in Neuromorph; Neuromorph will also use more advanced algorithms to decide where to spawn new synapses)
In every firing-cycle only a fraction of all neurons are allowed to fire (highest output) all others are inhibited. (In Project Neuromorph this will be less strict; low firing-rates will have higher dropout-chances and we discurage firing thought an additional loss) In every firing-cycle only a fraction of all neurons are allowed to fire (highest output) all others are inhibited. (In Project Neuromorph this will be less strict; low firing-rates will have higher dropout-chances and we discurage firing thought an additional loss)
Based on the PonderNet-Architecture we allow our network to 'think' as long as it wants about a given problem (well, ok; there is a maximum amount of firing-cycles to make training possbile) Based on the PonderNet-Architecture we allow our network to 'think' as long as it wants about a given problem (well, ok; there is a maximum amount of firing-cycles to make training possbile)
The input's and output's of the network have a fixed length. (Project Neuromorph will also allow variable-length outputs like in a RNN) The input's and output's of the network have a fixed length. (Project Neuromorph will also allow variable-length outputs like in a RNN)