M'ndandanda wazopezekamo[Bisani][Show]
- 1. Kodi Kuphunzira Mwakuya ndi chiyani kwenikweni?
- 2. Ndi chiyani chomwe chimasiyanitsa Kuphunzira Mwakuya ndi Kuphunzira kwa Makina?
- 3. Kodi mumamvetsetsa bwanji za neural network?
- 4. Kodi perceptron ndi chiyani kwenikweni?
- 5. Kodi network neural network ndi chiyani kwenikweni?
- 6. Kodi Multilayer Perceptron (MLP) Ndi Chiyani Kwenikweni?
- 7. Kodi ntchito zoyambitsa zimagwira ntchito bwanji mu neural network?
- 8. Kodi Kutsika Kwa Gradient Ndi Chiyani Kwenikweni?
- 9. Kodi Ndalama Zimagwira Ntchito Bwanji Kwenikweni?
- 10. Kodi maukonde ozama angapambane bwanji osazama?
- 11. Kufotokoza kufalitsa kwamtsogolo.
- 12. Kodi kubweza ndi chiyani?
- 13. Pankhani ya kuphunzira mozama, mumamvetsetsa bwanji kudulidwa kwa gradient?
- 14. Kodi Softmax ndi ReLU Ntchito Ndi Chiyani?
- 15. Kodi chitsanzo cha neural network chikhoza kuphunzitsidwa ndi zolemera zonse zokhazikitsidwa ku 0?
- 16. Kodi n'chiyani chimasiyanitsa nyengo ndi kubwerezabwereza?
- 17. Kodi Ma Batch Normalization ndi Kusiya Ndi Chiyani?
- 18. Nchiyani Chimalekanitsa Kutsika kwa Stochastic Gradient kuchokera ku Batch Gradient Descent?
- 19. Kodi nchifukwa ninji kuli kofunika kuphatikizirapo zosagwirizana ndi ma neural network?
- 20. Kodi chomangira mu kuphunzira mwakuya ndi chiyani?
- 21. Kodi mungasankhe bwanji kutsegula kwachitsanzo chozama?
- 22. Mukutanthauza chiyani ndi CNN?
- 23. Kodi zigawo zambiri za CNN ndi ziti?
- 24. Kodi kugwiritsira ntchito mopambanitsa kumakhala ndi zotsatirapo zotani, ndipo mungapewe bwanji zimenezo?
- 25. Mu kuphunzira mozama, RNN ndi chiyani?
- 26. Longosolani Adam Optimizer
- 27. Deep autoencoders: ndi chiyani?
- 28. Kodi Tensor Amatanthauza Chiyani mu Tensorflow?
- 29. Kufotokozera kwa graph yowerengera
- 30. Magulu oyambitsa adani (GANs): ndi chiyani?
- 31. Kodi mungasankhire bwanji kuchuluka kwa ma neuron ndi zigawo zobisika kuti ziphatikizidwe mu neural network pamene mukupanga zomangamanga?
- 32. Ndi mitundu yanji ya ma neural network omwe amagwiritsidwa ntchito pophunzira mozama kulimbikitsa?
- Kutsiliza
Kuphunzira mozama si lingaliro latsopano. Ma network a Artificial neural network amakhala ngati maziko okha a kagawo kakang'ono kophunzirira makina komwe kumadziwika kuti kuphunzira mozama.
Kuphunzira mozama ndikutengera ubongo wamunthu, monga momwe ma neural network amachitira, momwe adapangidwira kuti azitsanzira ubongo wamunthu.
Pakhala pali izi kwa kanthawi. Masiku ano, aliyense akulankhula za izi popeza tilibe mphamvu zambiri zosinthira kapena data monga momwe tilili pano.
Pazaka 20 zapitazi, kuphunzira mozama ndi kuphunzira pamakina kwatulukira chifukwa cha kukwera kwakukulu kwa ntchito yokonza.
Pofuna kukuthandizani kukonzekera mafunso aliwonse omwe mungakumane nawo mukafuna ntchito yamaloto anu, positi iyi ikutsogolerani pamafunso angapo ophunzirira mwakuya, kuyambira osavuta mpaka ovuta.
1. Kodi Kuphunzira Mwakuya ndi chiyani kwenikweni?
Ngati mukupita ku a kuphunzira kwakukulu kuyankhulana, mosakayikira mumamvetsetsa kuti kuphunzira mozama ndi chiyani. Wofunsayo, komabe, akuyembekezera kuti mupereke yankho latsatanetsatane pamodzi ndi fanizo poyankha funsoli.
Kuti aphunzitse mawindo a neural Kuti muphunzire mozama, zidziwitso zambiri zokonzedwa kapena zosalongosoka ziyenera kugwiritsidwa ntchito. Kuti mupeze mawonekedwe obisika ndi mawonekedwe, imachita njira zovuta (mwachitsanzo, kusiyanitsa chithunzi cha mphaka ndi cha galu).
2. Ndi chiyani chomwe chimasiyanitsa Kuphunzira Mwakuya ndi Kuphunzira kwa Makina?
Monga nthambi yazanzeru zopangira zomwe zimadziwika kuti kuphunzira pamakina, timaphunzitsa makompyuta pogwiritsa ntchito ma data ndi mawerengero ndi njira zama algorithmic kuti azikhala bwino pakapita nthawi.
Monga mbali ya makina kuphunzira, kuphunzira mozama kumatsanzira kamangidwe ka neural network kamene kamawonedwa muubongo wamunthu.
3. Kodi mumamvetsetsa bwanji za neural network?
Makina opanga omwe amadziwika kuti ma neural network amafanana kwambiri ndi ma organic neural network omwe amapezeka m'thupi la munthu.
Kugwiritsa ntchito njira zomwe zimafanana ndi zomwe ubongo waumunthu function, neural network ndi gulu la ma aligorivimu omwe cholinga chake ndi kuzindikira kulumikizana kwapakatikati pa data.
Machitidwewa amapeza chidziwitso chokhudzana ndi ntchito podziwonetsera okha kumagulu osiyanasiyana a deta ndi zitsanzo, m'malo motsatira malamulo okhudza ntchito iliyonse.
Lingaliro ndiloti m'malo mokhala ndi chidziwitso chokonzedweratu cha ma dataset awa, dongosololi limaphunzira kusiyanitsa makhalidwe kuchokera ku deta yomwe imadyetsedwa.
Magawo atatu amtaneti omwe amagwiritsidwa ntchito kwambiri mu Neural Networks ndi awa:
- Lowetsani wosanjikiza
- Wobisika wosanjikiza
- Linanena bungwe wosanjikiza
4. Kodi perceptron ndi chiyani kwenikweni?
The biological neuron yomwe imapezeka mu ubongo wa munthu imafanana ndi perceptron. Zolowetsa zingapo zimalandiridwa ndi perceptron, zomwe zimapanga masinthidwe ambiri ndi ntchito ndikupanga zotuluka.
Mtundu wa mzere wotchedwa perceptron umagwiritsidwa ntchito mumagulu a binary. Imafanana ndi neuron yokhala ndi zolowetsa zosiyanasiyana, iliyonse ili ndi kulemera kwake.
Neuron imawerengera ntchito pogwiritsa ntchito zolowetsa zolemerazi ndikutulutsa zotsatira.
5. Kodi network neural network ndi chiyani kwenikweni?
Neural network yakuya ndi artificial neural network (ANN) yokhala ndi zigawo zingapo pakati pa zolowetsa ndi zotulutsa (DNN).
Ma neural network akuzama ndi ma neural network ozama. Mawu oti "kuya" amatanthauza ntchito zokhala ndi magawo ambiri ndi mayunitsi mugawo limodzi. Zitsanzo zolondola zitha kupangidwa powonjezera zigawo zokulirapo kuti zijambule milingo yokulirapo.
6. Kodi Multilayer Perceptron (MLP) Ndi Chiyani Kwenikweni?
Zolowetsa, zobisika, ndi zotuluka zilipo mu MLPs, monga mu neural network. Zimamangidwa mofanana ndi perceptron imodzi yokhala ndi zigawo zobisika kapena zingapo.
Kutulutsa kwa binary kwa gawo limodzi la perceptron kumatha kugawira magulu olekanitsidwa ndi mizere (0,1), pomwe MLP imatha kuyika makalasi osagwirizana.
7. Kodi ntchito zoyambitsa zimagwira ntchito bwanji mu neural network?
Kutsegula kumatsimikizira ngati neuron iyenera kuyambitsa kapena ayi pamlingo wofunikira kwambiri. Ntchito iliyonse yotsegula imatha kuvomereza kuchuluka kwa zolowetsazo kuphatikiza kukondera ngati kulowetsa. Ntchito zoyambitsa zikuphatikizapo sitepe, Sigmoid, ReLU, Tanh, ndi Softmax.
8. Kodi Kutsika Kwa Gradient Ndi Chiyani Kwenikweni?
Njira yabwino yochepetsera ntchito yamtengo wapatali kapena cholakwika ndikutsika kwa gradient. Kupeza minima yapadziko lonse lapansi ndicholinga. Izi zikutanthawuza njira yomwe chitsanzocho chiyenera kutsatira kuti chichepetse zolakwika.
9. Kodi Ndalama Zimagwira Ntchito Bwanji Kwenikweni?
Ntchito yamtengo wapatali ndi metric kuti muwone momwe chitsanzo chanu chikuyendera bwino; nthawi zina amatchedwa "kutaya" kapena "kulakwitsa." Panthawi yobwezeredwa, imagwiritsidwa ntchito kuwerengera zolakwika za gawolo.
Timagwiritsa ntchito zolakwikazo kupititsa patsogolo maphunziro a neural network pokankhira kumbuyo kudzera mu neural network.
10. Kodi maukonde ozama angapambane bwanji osazama?
Zigawo zobisika zimawonjezedwa ku neural network kuphatikiza pazowonjezera ndi zotulutsa. Pakati pa zolowetsa ndi zotulutsa, ma neural network osaya amagwiritsa ntchito wosanjikiza umodzi wobisika, pomwe ma neural network akuzama amagwiritsa ntchito milingo yambiri.
Netiweki yozama imafunikira magawo angapo kuti athe kulowa muntchito iliyonse. Maukonde akuya amatha kugwira ntchito bwino ngakhale ndi magawo ochepa chifukwa amaphatikiza zigawo zingapo.
Maukonde akuya tsopano amakondedwa chifukwa cha kusinthasintha kwawo pogwira ntchito ndi mtundu uliwonse wa ma data, kaya ndi mawu kapena kuzindikira zithunzi.
11. Kufotokoza kufalitsa kwamtsogolo.
Zolowetsa zimafalitsidwa pamodzi ndi zolemera ku gawo lokwiriridwa mu njira yotchedwa kufalitsa kutumiza.
Zotulutsa za activation zimawerengedwa mugawo lililonse lokwiriridwa lisanathe kupitilira mpaka gawo lotsatirali.
Njirayi imayambira pa gawo lolowera ndikupita kumalo omaliza otulutsa, motero kufalitsa dzina.
12. Kodi kubweza ndi chiyani?
Pamene zolemera ndi zokondera zisinthidwa mu neural network, backpropagation imagwiritsidwa ntchito kuchepetsa mtengo wamtengo wapatali poyang'ana poyamba momwe mtengo umasinthira.
Kumvetsetsa gradient pagawo lililonse lobisika kumapangitsa kuwerengera kusinthaku kukhala kosavuta.
Njirayi, yomwe imadziwika kuti backpropagation, imayambira pagawo lotulutsa ndikubwerera m'mbuyo kumalo olowera.
13. Pankhani ya kuphunzira mozama, mumamvetsetsa bwanji kudulidwa kwa gradient?
Gradient Clipping ndi njira yothetsera vuto la kuphulika kwa ma gradients omwe amatuluka panthawi yobwereranso (nthawi yomwe ma gradients olakwika amawunjikana pakapita nthawi, zomwe zimapangitsa kuti pakhale kusintha kwakukulu kwa kulemera kwa neural network model pa nthawi ya maphunziro).
Kuphulika kwa ma gradients ndi nkhani yomwe imabwera pamene ma gradients amakula kwambiri panthawi ya maphunziro, zomwe zimapangitsa kuti chitsanzocho chisasunthike. Ngati gradient yadutsa mulingo womwe ukuyembekezeredwa, ma gradient amakankhidwira chinthu chimodzi ndi chinthu kupita pamtengo wodziwikiratu kapena wocheperako.
Kudulira kwa gradient kumathandizira kukhazikika kwa manambala a neural network panthawi yophunzitsidwa, koma kumachepetsa magwiridwe antchito amtunduwu.
14. Kodi Softmax ndi ReLU Ntchito Ndi Chiyani?
Ntchito yotsegula yotchedwa Softmax imapanga zotuluka pakati pa 0 ndi 1. Kutulutsa kulikonse kumagawidwa kuti chiwerengero cha zotuluka zonse chikhale chimodzi. Pazigawo zotulutsa, Softmax imagwiritsidwa ntchito pafupipafupi.
Rectified Linear Unit, yomwe nthawi zina imadziwika kuti ReLU, ndiyomwe imagwiritsidwa ntchito kwambiri. Ngati X ili yabwino, imatulutsa X, apo ayi imatulutsa ziro. ReLU imagwiritsidwa ntchito pafupipafupi pamagawo okwiriridwa.
15. Kodi chitsanzo cha neural network chikhoza kuphunzitsidwa ndi zolemera zonse zokhazikitsidwa ku 0?
Neural network sidzaphunzira kumaliza ntchito yomwe wapatsidwa, chifukwa chake sizingatheke kuphunzitsa chitsanzo poyambitsa zolemera zonse kukhala 0.
Zomwe zimachokera zidzakhala zofanana pa kulemera kulikonse mu W [1] ngati zolemera zonse ziyambitsidwa mpaka ziro, zomwe zingapangitse kuti ma neuroni aphunzire zinthu zomwezo mobwerezabwereza.
Osati kungoyambitsa zolemera ku 0, koma kumtundu uliwonse wokhazikika kumatha kubweretsa zotsatira zochepa.
16. Kodi n'chiyani chimasiyanitsa nyengo ndi kubwerezabwereza?
Mitundu yosiyanasiyana yosinthira ma dataset ndi njira zoyambira zotsika zimaphatikizanso batch, iteration, ndi epoch. Epoch imakhudza kamodzi-kupyolera mu neural network yokhala ndi deta yonse, kutsogolo ndi kumbuyo.
Pofuna kupereka zotsatira zodalirika, deta imadutsa kangapo chifukwa ndi yaikulu kwambiri kuti isadutse muyeso limodzi.
Mchitidwewu woyendetsa mobwerezabwereza kachulukidwe kakang'ono ka data kudzera mu neural network umatchedwa kubwereza. Pofuna kutsimikizira kuti deta imadutsa bwino ma neural network, imatha kugawidwa m'magulu angapo kapena magawo ang'onoang'ono, omwe amadziwika kuti batching.
Kutengera kukula kwa zosonkhanitsira deta, njira zonse zitatu - nthawi, kubwereza, ndi kukula kwa batch - ndizo njira zogwiritsira ntchito gradient descent algorithm.
17. Kodi Ma Batch Normalization ndi Kusiya Ndi Chiyani?
Kusiya kumalepheretsa kuchulukirachulukira kwa data pochotsa mwachisawawa mayunitsi onse owoneka ndi obisika (nthawi zambiri amatsitsa 20 peresenti ya node). Imachulukitsa kuchuluka kwa zobwereza zomwe zimafunikira kuti netiweki isanduke.
Posintha zolowetsa mugawo lililonse kuti zikhale zotulutsa ziro ndi kupatuka kokhazikika kwa chimodzi, batch normalization ndi njira yopititsira patsogolo magwiridwe antchito ndi kukhazikika kwa neural network.
18. Nchiyani Chimalekanitsa Kutsika kwa Stochastic Gradient kuchokera ku Batch Gradient Descent?
Kutsika kwa Batch Gradient:
- Deta yathunthu imagwiritsidwa ntchito kupanga gradient ya batch gradient.
- Kuchuluka kwa deta komanso zolemetsa zomwe zimasinthidwa pang'onopang'ono zimapangitsa kuti kulumikizana kukhala kovuta.
Kutsika kwa Stochastic Gradient:
- Stochastic gradient imagwiritsa ntchito chitsanzo chimodzi kuwerengera gradient.
- Chifukwa cha kusintha kolemera pafupipafupi, kumasintha mwachangu kwambiri kuposa kuchuluka kwa batch.
19. Kodi nchifukwa ninji kuli kofunika kuphatikizirapo zosagwirizana ndi ma neural network?
Ziribe kanthu kuti pali zigawo zingati, neural network ikhala ngati perceptron pakalibe zosagwirizana, zomwe zimapangitsa kuti zotulukazo zizidalira zomwe zalowetsedwa.
Kunena mwanjira ina, neural network yokhala ndi n zigawo ndi m zobisika mayunitsi ndi liniya activation ntchito n'zofanana ndi liniya neural network popanda zigawo zobisika ndi kutha kuzindikira mizere yolekanitsa malire okha.
Popanda zosagwirizana, neural network siyitha kuthetsa zovuta ndikuyika bwino zomwe zalowetsedwa.
20. Kodi chomangira mu kuphunzira mwakuya ndi chiyani?
Ma multidimensional array omwe amadziwika kuti tensor amagwira ntchito ngati matrices ndi ma vector. Ndilo dongosolo la deta lofunikira kuti muphunzire mozama. Mitundu ya N-dimensional yamitundu yofunikira imagwiritsidwa ntchito kuyimira ma tensor.
Chigawo chilichonse cha tensor chimakhala ndi mtundu womwewo wa data, ndipo mtundu wa data uwu umadziwika nthawi zonse. N’kutheka kuti mbali imodzi yokha ya mpangidwewo, ndiko kuti, kukula kwake kwa miyeso ndi kukula kwake—ndi kumene kumadziwika.
Muzochitika zomwe zolowetsazo zimadziwikanso bwino, ntchito zambiri zimapanga ma tensor odziwika bwino; nthawi zina, mawonekedwe a tensor akhoza kukhazikitsidwa panthawi ya graph kuphedwa.
21. Kodi mungasankhe bwanji kutsegula kwachitsanzo chozama?
- Ndizomveka kugwiritsa ntchito mzere wotsegulira ngati zotsatira zomwe ziyenera kuyembekezera ndi zenizeni.
- Ntchito ya Sigmoid iyenera kugwiritsidwa ntchito ngati zomwe zikuyenera kuwonetsedwa ndizotheka m'gulu la binary.
- Ntchito ya Tanh itha kugwiritsidwa ntchito ngati zomwe zikuyembekezeredwa zili ndi magulu awiri.
- Chifukwa cha kuwerengera kwake kosavuta, ntchito ya ReLU imagwira ntchito m'malo osiyanasiyana.
22. Mukutanthauza chiyani ndi CNN?
Maukonde azama neural omwe amakhazikika pakuwunika zithunzi ndi ma convolutional neural network (CNN, kapena ConvNet). Apa, m'malo mwa neural network pomwe vekitala imayimira zolowetsa, zolowetsazo ndi chithunzi chanjira zambiri.
Multilayer perceptrons amagwiritsidwa ntchito mwapadera ndi CNNs zomwe zimafuna kukonzanso pang'ono.
23. Kodi zigawo zambiri za CNN ndi ziti?
Convolutional Layer: Chosanjikiza chachikulu ndi chosanjikiza, chomwe chimakhala ndi zosefera zosiyanasiyana zophunzirira komanso gawo lomvera. Chigawo choyambirirachi chimatenga zomwe zalowetsedwa ndikutulutsa mawonekedwe ake.
ReLU Layer: Popanga maukonde kukhala opanda mzere, wosanjikiza uwu umatembenuza ma pixel oyipa kukhala ziro.
Pooling layer: Pochepetsa makonzedwe ndi ma network, kusanjikizako pang'onopang'ono kumachepetsa kukula kwa mawonekedwe. Kuphatikizika kwakukulu ndi njira yomwe imagwiritsidwa ntchito kwambiri pakuphatikizana.
24. Kodi kugwiritsira ntchito mopambanitsa kumakhala ndi zotsatirapo zotani, ndipo mungapewe bwanji zimenezo?
Izi zimatchedwa overfitting pamene wojambula aphunzira zovuta ndi phokoso mu data yophunzitsira mpaka pamene zimasokoneza kugwiritsa ntchito deta yatsopano kwa chitsanzo.
Ndizotheka kuchitika ndi zitsanzo zopanda mzere zomwe zimasinthasintha pophunzira ntchito ya cholinga. Mtundu ukhoza kuphunzitsidwa kuzindikira magalimoto ndi magalimoto, koma ukhoza kuzindikira magalimoto omwe ali ndi bokosi linalake.
Poganizira kuti idaphunzitsidwa pamtundu umodzi wagalimoto, sizingathe kuzindikira lole ya flatbed. Pa data yophunzitsa, chitsanzocho chimagwira ntchito bwino, koma osati m'dziko lenileni.
Chitsanzo chosakwanira bwino chimatanthawuza munthu amene sanaphunzitsidwe mokwanira pa deta kapena wokhoza kuwonjezereka ku chidziwitso chatsopano. Izi zimachitika kawirikawiri pamene chitsanzo chikuphunzitsidwa ndi deta yosakwanira kapena yolakwika.
Kulondola komanso magwiridwe antchito onse amasokonekera chifukwa chosakwanira.
Kuyesanso deta kuti muyerekeze kulondola kwachitsanzo (K-fold cross-validation) ndi kugwiritsa ntchito dataset yotsimikizira kuti muwunike chitsanzo ndi njira ziwiri zopewera kuchulukitsitsa ndi kuperewera.
25. Mu kuphunzira mozama, RNN ndi chiyani?
Recurrent neural network (RNNs), mitundu yodziwika bwino yama neural neural network, amapita ndi chidule cha RNN. Amagwiritsidwa ntchito pokonza ma genome, kulemba pamanja, zolemba, ndi ma data, ndi zina. Pakuphunzitsidwa kofunikira, ma RNN amagwiritsa ntchito kubweza.
26. Longosolani Adam Optimizer
Adam optimizer, yomwe imadziwikanso kuti adaptive momentum, ndi njira yokhathamiritsa yomwe imapangidwa kuti izitha kuthana ndi phokoso ndi ma gradients ochepa.
Kuphatikiza pakupereka zosintha pagawo lililonse kuti ziphatikizidwe mwachangu, chowonjezera cha Adam chimakulitsa kulumikizana mwachangu, kuwonetsetsa kuti choyimira sichikutsekeka pamalo okwera.
27. Deep autoencoders: ndi chiyani?
Deep autoencoder ndi dzina lophatikizidwa la maukonde awiri ofananira ozama omwe nthawi zambiri amakhala ndi zigawo zinayi kapena zisanu zosaya za theka la netiweki ndi seti ina ya zigawo zinayi kapena zisanu pa theka lofotokozera.
Zigawo izi zimapanga maziko a zikhulupiriro zakuya ndipo zimakakamizidwa ndi makina a Boltzmann. Pambuyo pa RBM iliyonse, cholembera chakuya chimagwiritsa ntchito kusintha kwa binary pa dataset ya MNIST.
Atha kugwiritsidwanso ntchito pamaseti ena pomwe kusintha kosinthidwa kwa Gaussian kungakonde kuposa RBM.
28. Kodi Tensor Amatanthauza Chiyani mu Tensorflow?
Ili ndi funso lina lozama lofunsa mafunso lomwe limafunsidwa nthawi zonse. Tensor ndi lingaliro la masamu lomwe limawonedwa ngati magulu apamwamba kwambiri.
Tensor ndi magulu awa a data omwe amaperekedwa ngati cholowetsa ku neural network ndipo amakhala ndi miyeso ndi masanjidwe osiyanasiyana.
29. Kufotokozera kwa graph yowerengera
Maziko a TensorFlow ndikumanga ma graph owerengera. Node iliyonse imagwira ntchito mu netiweki ya node, pomwe mfundo zimayimira masamu ndi m'mphepete mwa ma tensor.
Nthawi zina imatchedwa "DataFlow Graph" popeza deta imayenda mu mawonekedwe a graph.
30. Magulu oyambitsa adani (GANs): ndi chiyani?
M'maphunziro ozama, kupanga ma generative kumakwaniritsidwa pogwiritsa ntchito maukonde opangira zida. Ndi ntchito yosayang'aniridwa pomwe zotsatira zake zimapangidwa pozindikira mawonekedwe muzolowera.
Kusankhana kumagwiritsidwa ntchito kugawa zochitika zomwe zimapangidwa ndi jenereta, pomwe jenereta imagwiritsidwa ntchito kupanga zitsanzo zatsopano.
31. Kodi mungasankhire bwanji kuchuluka kwa ma neuron ndi zigawo zobisika kuti ziphatikizidwe mu neural network pamene mukupanga zomangamanga?
Poganizira zovuta zamabizinesi, kuchuluka kwake kwa ma neuron ndi zigawo zobisika zomwe zimafunikira kuti apange kamangidwe ka neural network sizingadziwike ndi malamulo aliwonse olimba komanso othamanga.
Mu neural network, kukula kwa wosanjikiza wobisika kuyenera kugwa penapake pakati pa kukula kwa magawo olowera ndi zotuluka.
Kuyamba pakupanga mapangidwe a neural network kumatha kutheka m'njira zingapo zowongoka, ngakhale:
Kuyambira ndi kuyesa mwadongosolo kuti muwone zomwe zingagwire bwino kwambiri pamtundu uliwonse wa data kutengera zomwe zidachitika kale ndi ma neural network muzochitika zenizeni zenizeni ndi njira yabwino kwambiri yothanirana ndi zovuta zilizonse zapadera zolosera zam'tsogolo.
Kukonzekera kwa netiweki kumatha kusankhidwa kutengera chidziwitso chomwe munthu ali nacho pagawo lake komanso zomwe adakumana nazo kale pa neural network. Mukawunika kukhazikitsidwa kwa neural network, kuchuluka kwa zigawo ndi ma neuron omwe amagwiritsidwa ntchito pamavuto okhudzana ndi malo abwino oyambira.
Kuvuta kwa neural network kuyenera kukulitsidwa pang'onopang'ono kutengera zomwe zikuyembekezeredwa komanso kulondola, kuyambira ndi mapangidwe osavuta a neural network.
32. Ndi mitundu yanji ya ma neural network omwe amagwiritsidwa ntchito pophunzira mozama kulimbikitsa?
- Mu paradigm yophunzirira makina yotchedwa kulimbikitsa kuphunzira, chitsanzocho chimapangitsa kuti lingaliro la mphotho yowonjezereka, monga momwe zinthu zamoyo zimachitira.
- Masewero ndi magalimoto odziyendetsa okha onse akufotokozedwa ngati mavuto okhudza kupititsa patsogolo maphunziro.
- Chophimbacho chimagwiritsidwa ntchito ngati chothandizira ngati vuto loyimiridwa ndi masewera. Kuti apange zotuluka m'magawo otsatirawa, algorithm imatenga ma pixel ngati cholowera ndikuwongolera kudzera mumagulu ambiri a convolutional neural network.
- Zotsatira za zochita za chitsanzo, kaya zabwino kapena zoipa, zimakhala ngati chilimbikitso.
Kutsiliza
Kuphunzira Mwakuya kwakula kutchuka kwazaka zambiri, ndikugwiritsa ntchito pafupifupi gawo lililonse lamakampani.
Makampani akuchulukirachulukira kufunafuna akatswiri odziwa bwino ntchito omwe amatha kupanga zitsanzo zomwe zimatengera machitidwe amunthu pogwiritsa ntchito kuphunzira mozama komanso njira zophunzirira makina.
Otsatira omwe amawonjezera luso lawo ndikusunga chidziwitso chawo pa matekinoloje apamwambawa atha kupeza mwayi wambiri wogwira ntchito ndi malipiro abwino.
Mutha kuyamba ndi zoyankhulana tsopano popeza mumamvetsetsa bwino momwe mungayankhire mafunso ena omwe amafunsidwa nthawi zambiri. Tengani sitepe yotsatira potengera zolinga zanu.
Pitani ku Hashdork Nkhani Zoyankhulana kukonzekera zoyankhulana.
Siyani Mumakonda