 dayachesi anaku convalutional neural nett ‌ varey ‌ loni keelaka bhaagaalu / arkhitekture ‌ l yokka chinna bullett jaabitaanu andinchandi .
 convalutional neural nett ‌ varey ‌ loo in ‌ putt layer ,  hiden layer ‌ lu mariyu avut ‌ putt layer untai .  edaina phiid - forward neural nett ‌ varey ‌ loo ,  edaina Madhya poralanu daachadam ani pilustharu endhukante vaati in ‌ putt ‌ lu mariyu avut ‌ putt ‌ lu activation function mariyu finally convalution dwara mosque cheyabadathaai .  convalutional neural nett ‌ varey ‌ loo ,  daachina poralu melikalu chese poralanu kaligi untai .  saadharanamga idi layer in ‌ putt matricks ‌ thoo convalution kernal yokka dott utpattini chese layer ‌ ni kaligi umtumdi .  yea utpatthi saadharanamga frobenius amtargata utpatthi ,  mariyu deeni activation function saadharanamga  ReLU.  convalution kernal layer choose in ‌ putt matricks ‌ thoo paatu jaaripotunnappudu ,  convalution aapareshan pheechar map ‌ nu utpatthi chesthundu ,  idi tadupari layer in ‌ putt ‌ ku dohadapadutundi .  pooling layer ‌ lu ,  purtiga konnect cheyabadina layer ‌ lu mariyu saadhaaraneekarana layer ‌ lu vento itara layer ‌ lu deeni tarwata untai .

 convalutional poralu 

 convalutional layer ‌ lu in ‌ putt ‌ nu kalusthaayi mariyu dani falithaanni tadupari layer ‌ ki pamputhayi .  idi vijuval cartex ‌ loni neuron nirdishta uddeepanaku pratispandananu pooli umtumdi .  prathi convalutional neuron dani grahaka kshetraniki Bara deetaanu prosess chesthundu .  pheechar ‌ lanu telusukovadaniki mariyu deetaanu vargeekarinchadaaniki purtiga konnect cheyabadina phiid ‌ forward neural nett ‌ varey ‌ lanu upayoginchagaliginappati ,  yea nirmaanam saadharanamga peddha in ‌ putt ‌ laku  ( udaa .,  high - reselution emage ‌ lu )  asaadhyamainadi ,  deeniki prathi piksel sambandhitha in ‌ putt pheechar ayinandhuna bhaaree sankhyalo neuron ‌ lu avsaram . 100 × 100  parimaanam unna emage choose purtiga konnect cheyabadina layer rendava layer ‌ loni prathi neuron ‌ ku  10,000  baruvulanu kaligi umtumdi .  convalution uchita paaraamitula sankhyanu taggistundi ,  nett ‌ varey lothugaa undataniki anumatistundi .  udaharanaku , 5 × 5  tiling praantaanni upayoginchadam ,  prathi okkati oche bhagaswamya baruvulatho , 25  neuronlu Bara avsaram .  takuva paramiter ‌ lalo kramabaddheekarinchabadina baruvulanu upayoginchadam valana munupati neural nett ‌ varey ‌ lalo byaak ‌ propagation samayamlo kanipincha vanishing gradients mariyu peludu gradients samasyalanu nivaaristundi .

 prosessing ‌ nu vaegavantham cheyadanki ,  praamaanika convalutional layer ‌ lanu depth ‌ wise separable convalutional layer ‌ l dwara bhartee cheyavachu ,  ivi depth ‌ wise convalution tarwata paayint wise convalution aadhaaramga untai .  depth ‌ wise convalution anede in ‌ putt tensor ‌ loni prathi chaanel ‌ pai swatantramgaa vartinche praadaesika convalution ,  ayithe paayint ‌ wise convalution anede viniyogaaniki parimitam cheyabadina praamaanika convalution .

 pooling poralu 
 convalutional nett ‌ varey ‌ lu saampradaya convalutional layer ‌ lato paatu stanika mariyu / ledha global pooling layer ‌ lanu kaligi vumdavacchu .  pooling layer ‌ lu ooka layer ‌ loni neuron cluster ‌ l avut ‌ putt ‌ lanu tadupari layer ‌ loo oche neuron ‌ gaaa kalapadam dwara deetaa kolatalanu taggistaayi .  stanika pooling chinna samuuhaalanu militam chesthundu , 2 × 2  vento tiling parimaanaalu saadharanamga upayoginchabadataayi .  pheechar map ‌ loni anni neuron ‌ lapai global pooling panichestundi .  janaadarana pondina upayogamlo remdu sadarana takala pooling unnayi :  garista mariyu sagatu .  makas pooling pheechar map ‌ loni prathi stanika neuron ‌ l cluster garista viilevanu upayogistundi ,  ayithe sagatu pooling sagatu viilevanu teesukuntundi .

 purtiga konnect cheyabadina poralu 
 purtiga anusandhaaninchabadina poralu ooka poralooni prathi neuron ‌ nu maroka poralooni prathi neuron ‌ thoo kaluputaayi .  idi saampradaya bahulasthaayi par ‌ septran neural nett ‌ varey  (MLP)  vale umtumdi .  chithraalanu vargeekarinchadaaniki chadunaina matrhuka purtiga anusandhaaninchabadina pora gunda velluthundhi .

 grahana kshethram 
 neural nett ‌ varey ‌ lalo ,  prathi neuron munupati layer ‌ loni konni sthaanaala nundi in ‌ putt pondutundi .  convalutional layer ‌ loo ,  prathi neuron neuron yokka receptive fiield ani piluvabadee munupati pora yokka nirodhita prantham nundi Bara in ‌ putt ‌ nu pondutundi .  saadharanamga prantham ooka chaturasram  ( udaa . 5  by  5  neuronlu ).  ayithe ,  purtiga konnect cheyabadina layer ‌ loo ,  grahaka kshethram motham munupati layer .  anevalla ,  prathi convalutional layer ‌ loo ,  prathi neuron munupati layer ‌ l kante in ‌ putt ‌ loni peddha prantham nundi in ‌ putt teesukuntundi .  piksel yokka viilevanu ,  alaage dani chuttupakkala piksel ‌ lanu parigananaloki teesukune convalution ‌ nu padhe padhe vartimpajeyadam deeniki kaaranam .  dilated layer ‌ lanu upayogistunnappudu ,  receptive fiield ‌ loni piksel ‌ l sanka sthiramgaa umtumdi ,  ayithe anek layer ‌ l prabhavanni kalipinappudu dani kolatalu peragadam will fiield chaaala thakkuvaga umtumdi .

 grahaka kshethra parimaanaanni kaavalasina vidhamgaa maarchataaniki ,  praamaanika convalutional layer ‌ ku konni pratyaamnaayaalu unnayi .  udaharanaku ,  attrus ledha dilated convalution anede kanipincha mariyu blinded regian ‌ lanu inter ‌ leave cheeyadam dwara paaraamitula sankhyanu penchakunda grahaka kshethra parimaanaanni vistaristundi .  antekakundaa ,  oche dilated convalutional layer bahulha vistarana nishpattulatho filter ‌ lanu kaligi umtumdi ,  tadwara variable receptive fiield parimaanaanni kaligi umtumdi .

 baruvulu 
 neural nett ‌ varey ‌ loni prathi neuron munupati layer ‌ loni receptive fiield nundi amdukunna in ‌ putt viluvalaku nirdishta function ‌ nu vartimpajeyadam dwara avut ‌ putt viilevanu ganistundi .  in ‌ putt viluvalaku vartinche function baruvula wector mariyu babus  ( saadharanamga vaasthava sankhyalu )  dwara nirnayinchabaduthundhi .  abhyasam anede yea pakshapaataalu mariyu baruvulanu punaraavrutamgaa sardubatu cheeyadam .

 baruvulu mariyu pakshapaataala wector ‌ lanu filter ‌ lu antaruu mariyu in ‌ putt yokka nirdishta lakshanaalanu suchistayi  ( udaa .,  ooka nirdishta aakaram ). CNN l yokka pratyeka lakshanam aemitante anek neuronlu oche filter ‌ nu panchukogalavu .  idi memary fut ‌ print ‌ nu taggistundi ,  endhukante prathi grahaka kshethram dani swantha babus mariyu wector veyiting ‌ nu kaligi undakunda ,  aa filter ‌ nu pancukunee anni receptive fiield ‌ lalo oche babus mariyu oche wectar baruvulu upayoginchabadataayi .
 convalutional neural nett ‌ varey yokka mukhya bhaagaalu / nirmaanam :

 convalutional layer ‌ lu :  yea layer ‌ lu in ‌ putt matricks ‌ nu kaluputaayi mariyu uchita paaraamitula sankhyanu taggistaayi mariyu nett ‌ varey marinta lothugaa vundela chesthundu .

 pooling layer ‌ lu :  yea layer ‌ lu ooka layer ‌ loni neuron cluster ‌ l avut ‌ putt ‌ lanu tadupari layer ‌ loo oche neuron ‌ gaaa kalapadam dwara deetaa kolatalanu taggistaayi .

 purtiga konnect cheyabadina poralu :  yea poralu ooka poralooni prathi neuron ‌ nu maroka poralooni prathi neuron ‌ thoo kaluputaayi .

 receptive fiield :  prathi neuron neuron yokka receptive fiield ani piluvabadee munupati pora yokka nirodhita prantham nundi in ‌ putt ‌ nu pondutundi .  convalutional layer ‌ loo ,  prathi neuron munupati layer ‌ l kante in ‌ putt ‌ loni peddha prantham nundi in ‌ putt teesukuntundi .

 baruvulu :  baruvulu mariyu babus yokka vectors in ‌ putt viluva nundi avut ‌ putt viilevanu ganinchadaaniki neural function dwara upayoginchabadataayi .