fossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 21 hours agoSquiggly Boiemander.xyzimagemessage-square38fedilinkarrow-up1621arrow-down19
arrow-up1612arrow-down1imageSquiggly Boiemander.xyzfossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 21 hours agomessage-square38fedilink
minus-squareTamo240@programming.devlinkfedilinkEnglisharrow-up4·6 hours 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-up2·edit-22 minutes 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.