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"Neural Circuit Policies" is a promising new architecture inspired by biological neurons. It leads to very small models that can handle complex tasks. This simplicity makes it more robust and more interpretable. Work done with Keras & available on GitHub: https://github.com/mlech26l/keras-ncp …pic.twitter.com/D3CU0xYOt2
Here's the paper, which shows how a model with just 19 neurons can drive a car, not unlike how C. elegans can generate useful behavior despite having very few neurons: https://www.nature.com/articles/s42256-020-00237-3 … Explanation video:https://www.youtube.com/watch?v=wAa358pNDkQ …
Thanks @suzatweet for bringing this work to my attention!
is this structure learning?
Great for real-time applications
It's sad that backprop is keeping us from building cyclic graphs 
Maybe one can use different optimization schemes using only a proxy of the gradienthttps://www.researchgate.net/publication/337889440_Embedding_Simulated_Annealing_within_Stochastic_Gradient_Descent …
PDF can be downloaded for free from the author's web site:http://www.raminhasani.com/publications/
Thank you so much for sharing this!
@RecuerdameBot son las 02:20 AM, recuerdame en un año a las 03:30 PM
Ok, tu hora es las 02:20 de la madrugada. Ya guardé el recordatorio para el Jueves 21/Octubre/2021 a las 03:30 PM Puedes cancelarlo respondiendo a este tweet "borra el recordatorio"
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