{"conversations": [{"from": "human", "value": "JavaScript hutsen sare klase neural sinple baten adibidea eman dezakezu liburutegirik gabe."}, {"from": "gpt", "value": "class Neuron { eraikitzailea] { hau.pigs = []; } ausazko Iful () {Mather.random () * 2 - 1 - 1 entry(input) { immon = 0; let i = < sarrera. luzera; i++) {sement= sarrera +i] * hau. ponders[i]; } 1 / 1 / (1 + Math.exp(- sum) itzultzen du; class Neuor[tamaina, ezkutuko tamaina, irteera_ tamaina) {. input = tamaina = sarrera > hau. hidden = tamaina = tamaina = irteera = = tamaina hau [bidea; i- tamaina = 1 = zenbakia; i[n=dn = un = un= proba- mapa [i]); i[n = proba berria (adib. 40. 40) = tamaina_ valdn=); un= proba- mapa( =%d=) = tamaina_ [n= 0); un=) = tamaina_ =% n= proba- mapa (adib. 40_ =% n = tamaina) = tamaina) = tamaina) = tamaina) = tamaina) = tamaina); bainan=) = tamaina_ =%) = tamaina) = tamaina_ =%) = 1 = tamaina_ =% n) = tamaina_ =% n) = tamaina_ =% n) = 1 = tamaina () = tamaina- mapa () = tamaina) = tamaina- mapa- mapa () = tamaina_ tamaina) = tamaina_ tamaina_ tamaina) = tamaina_ tamaina_ tamaina_ tamaina_ tamaina); baina tamaina) = tamaina_ tamaina_ tamaina) = tamaina_ tamaina_ tamaina_ tamaina_ tamaina () ) ) = tamaina_ tamaina_ tamaina) =) =) =) = tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina) ) ) = tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ tamaina_ zenbakia) = tamaina_ tamaina_ tamaina_ tamaina_ tamaina}."}, {"from": "human", "value": "class Neural {kondor(inputSize, irteera_ tamaina) {//hasieraren pisua eta aldeak ausazko balioekin.ments = array-a.from({ luzera) = Math.rand()); hau da, matematikoa = Math.iky = irteera > Size} // sigmod(x) +gm(x) +(x)); / <glod=) = <gorabidea; / <gorapen_goramuga> / <gorabidea> / <gorabidea> / <gorabidea> / <gorabidea> / <gorabide_gorabidea> / <gorabidea; zg> - zg> - zg> - gt; = <muga [tamaina> = irteera_gorabide_gorabidea [tamaina> - zg; i = <tamaina> = <tamaina> = = sarrera-zenbakia> / jg> = sarrera-zenbakia > zgsdf; ugsdf-zenbakia (i = sarrera-zenbakia [i/dg; zgs=/df/dgsdgs; zg/dgs=/dgsdgsdg.) / - <gorabide-zenbakia) / - <gorabidea; zgs; zgs] sarrera_dg; zg; zgsdgs=dgsdgs=) / <goradgs=) / [x/dgs=dg. dg; zgs=dg. / [/dgs=dgs=dgs] / *) / - <gora/dgs=dg; zgs] sarrera-zenbakia [/dg. *) / *) / *) = *) / - <gsdgsdgsdgsdgs=dgs; zgsdg. dgs] sarrera_dgs=) / - zgsdgsdgs/dgs/dgs/dgs/dgs=dgs/dgsdgs] sarrera_dgsdgs=dgs=dgs=dgsdgs/dgs/dgsdgs=dgs=dgs=dgs=d"}, {"from": "gpt", "value": "Aurreko erantzuna kopiatu duzula dirudi, zer nahi duzu laguntzea?"}, {"from": "human", "value": "class Neural {kondor(inputSize, irteera_ tamaina) {//hasieraren pisua eta aldeak ausazko balioekin.ments = array-a.from({ luzera) = Math.rand()); hau da, matematikoa = Math.iky = irteera > Size} // sigmod(x) +gm(x) +(x)); / <glod=) = <gorabidea; / <gorapen_goramuga> / <gorabidea> / <gorabidea> / <gorabidea> / <gorabidea> / <gorabide_gorabidea> / <gorabidea; zg> - zg> - zg> - gt; = <muga [tamaina> = irteera_gorabide_gorabidea [tamaina> - zg; i = <tamaina> = <tamaina> = = sarrera-zenbakia> / jg> = sarrera-zenbakia > zgsdf; ugsdf-zenbakia (i = sarrera-zenbakia [i/dg; zgs=/df/dgsdgs; zg/dgs=/dgsdgsdg.) / - <gorabide-zenbakia) / - <gorabidea; zgs; zgs] sarrera_dg; zg; zgsdgs=dgsdgs=) / <goradgs=) / [x/dgs=dg. dg; zgs=dg. / [/dgs=dgs=dgs] / *) / - <gora/dgs=dg; zgs] sarrera-zenbakia [/dg. *) / *) / *) = *) / - <gsdgsdgsdgsdgs=dgs; zgsdg. dgs] sarrera_dgs=) / - zgsdgsdgs/dgs/dgs/dgs/dgs=dgs/dgsdgs] sarrera_dgsdgs=dgs=dgs=dgsdgs/dgs/dgsdgs=dgs=dgs=dgs=d"}, {"from": "gpt", "value": ""}]}