Tsarin don zurfafa ilmantarwa ya ƙunshi haɗakar musaya, dakunan karatu da kayan aiki don ayyana da horar da ƙirar Koyon Inji cikin sauri da daidai.
Saboda zurfin ilmantarwa yana amfani da adadi mai yawa na bayanan da ba a tsara su ba, bayanan da ba na rubutu ba, kuna buƙatar tsarin da ke sarrafa hulɗar tsakanin "yadudduka" kuma yana samar da samfurin ci gaba da sauri ta hanyar koyo daga bayanan shigarwa da kuma yanke shawara mai zaman kansa.
Idan kuna sha'awar koyo game da zurfin koyo a cikin 2021, yi la'akari da yin amfani da ɗayan tsarin da aka nuna a ƙasa. Ka tuna ka zaɓi ɗaya wanda zai taimaka maka cimma burinka da hangen nesa.
1. TensorFlow
Lokacin magana game da zurfin ilmantarwa, TensorFlow yawanci shine tsarin farko da aka ambata. Mafi shahara, wannan tsarin ba kawai Google ke amfani da shi ba - kamfanin da ke da alhakin ƙirƙirarsa - har ma da wasu kamfanoni kamar Dropbox, eBay, Airbnb, Nvidia, da sauransu da yawa.
Ana iya amfani da TensorFlow don haɓaka APIs masu girma da ƙananan, yana ba ku damar gudanar da aikace-aikace akan kusan kowace irin na'ura. Ko da yake Python shine yaren farko, ana iya samun dama ga hanyar sadarwa ta Tensoflow da sarrafa ta ta amfani da wasu yarukan shirye-shirye kamar C++, Java, Julia, da JavaScript.
Kasancewa tushen tushen, TensorFlow yana ba ku damar yin haɗe-haɗe da yawa tare da wasu APIs kuma samun saurin tallafi da sabuntawa daga al'umma. Dogaro da shi akan "tsayi jadawali" don ƙididdigewa yana ba ku damar yin lissafin nan da nan ko adana ayyukan don samun dama a wani lokaci. Wadannan dalilai, sun kara da yiwuwar cewa za ku iya "kallon" ci gaban cibiyar sadarwar ku ta hanyar TensorBoard, sanya TensorFlow mafi shahararren tsarin ilmantarwa mai zurfi.
key Features
- Bugun bude-wuri
- sassauci
- Saurin gyara kurakurai
2. PyTorch
PyTorch wani tsari ne da Facebook ya samar don tallafawa ayyukan ayyukansa. Tun lokacin da ya zama tushen buɗe ido, wannan tsarin yana amfani da wasu kamfanoni banda Facebook, kamar Salesforce da Udacity.
Wannan tsarin yana aiki da jadawali da aka sabunta, yana ba ku damar yin canje-canje ga tsarin gine-ginen bayananku yayin da kuke aiwatar da shi. Tare da PyTorch yana da sauƙi don haɓakawa da horar da hanyar sadarwa na jijiyoyi, koda ba tare da wani gogewa a cikin zurfin koyo ba.
Kasancewa tushen tushe kuma bisa Python, zaku iya yin haɗin kai mai sauƙi da sauri zuwa PyTorch. Hakanan tsari ne mai sauƙi don koyo, amfani, da kuma cire kuskure. Idan kuna da tambayoyi, zaku iya dogaro da babban tallafi da sabuntawa daga al'ummomin biyu - al'ummar Python da al'ummar PyTorch.
key Features
- Easy su koyi
- Yana goyan bayan GPU da CPU
- Babban saitin APIs don tsawaita ɗakunan karatu
3. Apache MX Net
Saboda girman girmansa, babban aiki, saurin matsala, da kuma ci gaba da goyon bayan GPU, Apache ya ƙirƙiri wannan tsarin don amfani da manyan ayyukan masana'antu.
MXNet ya haɗa da haɗin Gluon wanda ke ba masu haɓaka duk matakan fasaha damar fara da zurfin koyo akan gajimare, kan na'urori masu gefe, da kuma kan aikace-aikacen hannu. A cikin ƴan layuka na lambar Gluon, zaku iya gina koma baya na layi, hanyoyin sadarwa na juyin juya hali da LSTM na yau da kullun don gano abu, gane magana, shawarwari, da keɓancewa.
Ana iya amfani da MXNet akan na'urori daban-daban kuma ana samun goyan bayan da yawa yarukan shirye-shirye kamar Java, R, JavaScript, Scala da Go. Kodayake yawan masu amfani da mambobi a cikin al'ummarsa ba su da yawa, MXNet yana da takardun da aka rubuta da kyau da kuma babban damar ci gaba, musamman yanzu da Amazon ya zaɓi wannan tsarin a matsayin kayan aiki na farko don Koyon Na'ura akan AWS.
key Features
- 8 ɗaurin harshe
- Horon da aka Rarraba, tallafawa Multi-CPU da tsarin GPU masu yawa
- Ƙarshen gaban-ƙarshen, yana ba da damar canzawa tsakanin halaye masu mahimmanci da na alama
4. Kayan Aikin Fahimtar Microsoft
Idan kuna tunanin haɓaka aikace-aikace ko ayyuka waɗanda ke gudana akan Azure (sabis na girgije na Microsoft), Kayan aikin Fahimtar Fahimtar Microsoft shine tsarin zaɓi don ayyukan ilmantarwa mai zurfi. Wannan buɗaɗɗen tushe ne, kuma yana tallafawa ta hanyar shirye-shirye harsuna kamar Python, C++, C#, Java, da sauransu. An tsara wannan tsarin don "tunanin kamar kwakwalwar ɗan adam", don haka zai iya aiwatar da adadi mai yawa na bayanan da ba a tsara su ba, yayin da yake ba da horo mai sauri da kuma gine-gine mai mahimmanci.
Ta zaɓar wannan tsarin - guda ɗaya a bayan Skype, Xbox, da Cortana - za ku sami kyakkyawan aiki daga aikace-aikacenku, haɓakawa da sauƙi mai sauƙi tare da Azure. Koyaya, idan aka kwatanta da TensorFlow ko PyTorch, an rage yawan membobin al'ummarta da tallafi.
Bidiyo mai zuwa yana ba da cikakkiyar gabatarwa da misalan aikace-aikace:
key Features
- Share takardu
- Taimako daga ƙungiyar Microsoft
- Hannun jadawali kai tsaye
5. Keras
Kamar PyTorch, Keras babban ɗakin karatu ne na tushen Python don ayyukan haɓaka bayanai. API na keras yana aiki a babban matakin kuma yana ba da damar haɗin kai tare da ƙananan APIs kamar TensorFlow, Theano, da Microsoft Cognitive Toolkit.
Wasu fa'idodi na amfani da keras shine sauƙin koyo - kasancewar shawarar da aka ba da shawarar ga masu farawa a cikin zurfin koyo; saurin tura shi; samun babban goyon baya daga al'ummar Python da kuma daga al'ummomin sauran tsarin da aka haɗa su da su.
Keras ya ƙunshi aiwatar da ayyuka daban-daban na tubalan ginin hanyoyin sadarwa na jijiyoyi kamar yadudduka, ayyuka na haƙiƙa, ayyukan kunnawa, da inganta ilimin lissafi. An shirya lambar sa akan GitHub kuma akwai taron tattaunawa da tashar tallafin Slack. Baya ga goyan baya ga ma'auni neural networks, Keras yana ba da tallafi ga hanyoyin sadarwa na Juyin Halitta da Ci gaba da Ci gaba.
Keras damar samfurin ilmantarwa mai zurfi da za a ƙirƙira su akan wayoyi masu wayo a duka iOS da Android, akan Injin Virtual Java, ko akan yanar gizo. Har ila yau, yana ba da damar yin amfani da rarraba horo na ƙirar ilmantarwa mai zurfi akan gungu na Rukunin Gudanar da Zane-zane (GPU) da Ƙungiyoyin Sarrafa Tensor (TPU).
key Features
- Samfuran da aka riga aka horar
- Tallafin baya da yawa
- Abokin amfani da babban tallafin al'umma
6. Apple Core ML
Core ML Apple ne ya ƙera shi don tallafawa tsarin halittar sa - IOS, Mac OS, da iPad OS. API ɗin sa yana aiki a ƙaramin matakin, yana yin amfani da albarkatun CPU da GPU da kyau, wanda ke ba da damar samfura da aikace-aikacen da aka ƙirƙira su ci gaba da gudana koda ba tare da haɗin Intanet ba, wanda ke rage “sawun ƙwaƙwalwar ajiya” da amfani da wutar lantarki na na'urar.
Hanyar Core ML ta cika wannan ba daidai ba ne ta hanyar yin wani ɗakin karatu na koyon injin wanda aka inganta don aiki akan iphones/ipads. Madadin haka, Core ML ya fi kama da mai tarawa wanda ke ɗaukar ƙayyadaddun ƙirar ƙira da ƙwararrun sigogi waɗanda aka bayyana tare da sauran software na koyon injin kuma suna canza shi zuwa fayil ɗin da ya zama tushen kayan aikin iOS. Wannan jujjuyawar zuwa ƙirar Core ML yana faruwa ne yayin haɓaka ƙa'idar, ba cikin ainihin lokacin da ake amfani da ƙa'idar ba, kuma ɗakin karatu na coremltools python yana sauƙaƙe.
Core ML yana ba da aiki mai sauri tare da haɗin kai mai sauƙi injin inji model a cikin aikace-aikace. Yana goyan bayan zurfin koyo tare da nau'ikan nau'ikan yadudduka sama da 30 da kuma bishiyar yanke shawara, injunan goyan baya, da hanyoyin jujjuyawar layi, duk an gina su akan ƙananan fasaha kamar ƙarfe da Haɗawa.
key Features
- Sauƙi don haɗawa cikin apps
- Mafi kyawun amfani da albarkatun gida, ba buƙatar shiga intanet ba
- Sirri: bayanan ba dole ba ne su bar na'urar
7. ONNX
Tsarin ƙarshe akan jerinmu shine ONNX. Wannan tsarin ya fito ne daga haɗin gwiwa tsakanin Microsoft da Facebook, tare da manufar sauƙaƙa tsarin canja wuri da gina samfura tsakanin sassa daban-daban, kayan aiki, lokutan gudu da masu tarawa.
ONNX yana bayyana nau'in fayil ɗin gama gari wanda zai iya gudana akan dandamali da yawa, yayin yin amfani da fa'idodin APIs masu ƙarancin ƙarfi kamar waɗanda daga Microsoft Cognitive Toolkit, MXNet, Caffe da (ta amfani da masu canzawa) Tensorflow da Core ML. Ka'idar da ke bayan ONNX ita ce horar da ƙira a kan tari da aiwatar da shi ta amfani da wasu ƙididdiga da tsinkaya.
Gidauniyar LF AI, wata ƙungiya ce ta Linux Foundation, ƙungiya ce da aka sadaukar don gina yanayin muhalli don tallafawa. Bude-source ƙirƙira a cikin basirar wucin gadi (AI), koyon injin (ML), da zurfin koyo (DL). Ya kara da ONNX a matsayin aikin matakin digiri a kan 14 Nuwamba 2019. Wannan motsi na ONNX a karkashin inuwar LF AI Foundation an gani a matsayin muhimmin ci gaba na kafa ONNX a matsayin tsarin bude-tsakiyar tallace-tallace.
ONNX Model Zoo tarin samfura ne da aka riga aka horar a cikin zurfafa koyo da ake samu a tsarin ONNX. Ga kowane samfurin akwai Littafin rubutu na Jupyter don horar da ƙirar ƙira da yin ƙima tare da ƙirar horarwa. An rubuta littattafan rubutu a cikin Python kuma sun ƙunshi hanyoyin haɗi zuwa bayanan horo da nassoshi ga ainihin takaddar kimiyya da ke kwatanta tsarin gine-gine.
key Features
- Tsarin aiki tare
- Inganta Hardware
Kammalawa
Wannan shine taƙaitaccen tsarin mafi kyawun tsarin don zurfin ilmantarwa. Akwai tsari da yawa don wannan dalili, kyauta ko biya. Don zaɓar mafi kyawun aikin ku, da farko ku san wane dandamali za ku haɓaka aikace-aikacen ku.
Tsarin gabaɗaya kamar TensorFlow da Keras sune mafi kyawun zaɓuɓɓuka don farawa. Amma idan kuna buƙatar amfani da fa'idodin OS ko takamaiman na'urar, to Core ML da Microsoft Cognitive Toolkit na iya zama mafi kyawun zaɓuɓɓuka.
Akwai wasu tsare-tsare masu niyya ga na'urorin Android, wasu injuna, da takamaiman dalilai waɗanda ba a ambata a cikin wannan jeri ba. Idan ƙungiyar ta ƙarshe tana sha'awar ku, muna ba da shawarar yin binciken bayanansu akan Google ko wasu rukunin yanar gizon koyon injin.
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