fossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 2 months agoSquiggly Boiemander.xyzimagemessage-square67fedilinkarrow-up1877
arrow-up1877imageSquiggly Boiemander.xyzfossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 2 months agomessage-square67fedilink
minus-squareTamo240@programming.devlinkfedilinkEnglisharrow-up8·2 months agoIts an abstraction for neural networks. Different individual networks might vary in number of layers (columns), nodes (circles), or loss function (lines), but the concept is consistent across all.
minus-squareNotANumber@lemmy.dbzer0.comlinkfedilinkEnglisharrow-up4·edit-22 months agoKinda but also no. That’s specifically a dense neural network or MLP. It gets a lot more complicated than that in some cases.
Its an abstraction for neural networks. Different individual networks might vary in number of layers (columns), nodes (circles), or loss function (lines), but the concept is consistent across all.
Kinda but also no. That’s specifically a dense neural network or MLP. It gets a lot more complicated than that in some cases.