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Basically trying to achieve a certain level of plasticity in deep neural nets by getting inspiration from https://en.wikipedia.org/wiki/Adult_neurogenesis https
by groar 10y ago
Basically trying to achieve a certain level of plasticity in deep neural nets by getting inspiration from https://en.wikipedia.org/wiki/Adult_neurogenesis https://en.wikipedia.org/wiki/Adult_neurogenesis
- andreyk 10y agoTo add on to this - they "specifically consider the case of adding new nodes to pre-train a stacked deep autoencoder", by basically keeping track of when certain layers cannot reproduce their input and then adding more nodes+retraining with both new (not reproduced) and old data. It is quite intuitive, basically the most naive and obvious first attempt at the problem (not meant in a condescending way, just want to point out it's not that generalizable and is pretty ad-hoc).