 neural nett ‌ varey ‌ lalo classic sigmoid function ‌ pai  ReLU  activation function ‌ nu upayoginchadam will kaliga prayojanalu emti ?
1.  gradient vanishing samasya :  sigmoid function yokka utpannam yokka garista viluva  0.25,  deeni falithamgaa byaak propagation samayamlo motham pravanatalu chaaala chinnaviga maaravacchu .  deeniki viruddhamgaa  ReLU  saanukuula in ‌ putt ‌ l choose sthiramaina pravanata  1 ni kaligi Pali .
2.  compute efficiency :  sigmoid function ‌ loo ex ‌ ponential aapareshan ‌ l kante rl ‌ uni garishtamgaa  (0, x)  upayoginchi ganinchavacchu .
3.  convergences scs :  neural nett ‌ varey ‌ lalo  ReLU ni activation function ‌ gaaa upayoginchadam sigmoid function kante vaegamgaa kalustundani kudaa nivedinchabadindi .