fossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 3 days agoSquiggly Boiemander.xyzimagemessage-square64fedilinkarrow-up1844arrow-down113
arrow-up1831arrow-down1imageSquiggly Boiemander.xyzfossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 3 days agomessage-square64fedilink
minus-squareTamo240@programming.devlinkfedilinkEnglisharrow-up8·2 days 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 days 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.