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Fixed README to correcly reference logo-svg

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Dominik Moritz Roth 2021-10-24 11:32:11 +02:00
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# Project PetriDish # Project PetriDish
![Logo](/home/dodox/Pictures/Inkscape/PetriDish.svg) ![Logo Missing](./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.
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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)