Uma uthakathwa umbono we-Artificial Intelligence (AI) lapho-ke cishe uyazi mayelana nezinhlelo zokusebenza eziguquguqukayo zalo mkhakha, okuhlanganisa ukucutshungulwa kwesithombe, ukutholwa kwento nokuqashelwa kwenkulumo. Lezi zinhlelo zokusebenza zonke ziyingxenye yenkundla engaphansi ye-AI eyaziwa ngokuthi Ukufunda Okujulile. Abahleli bangakha lezi zinhlelo eziguquguqukayo ngokusebenzisa imiqondo ye-Deep Learning besebenzisa imitapo yolwazi ye-AI nezinhlaka, enye yazo i-TensorFlow.
Kulesi sihloko, uzothola uhambo olusheshayo lokungena ku-TensorFlow Uhlaka lokufunda okujulile, ukusebenza kwayo, izici, izinhlelo zokusebenza, nokuthi ungakusebenzisa kanjani ezinhlelweni zakho ze-AI.
Ukufunda Okujulile
I-Deep Learning (DL) iyingxenye ye Ukufunda komshini, okuyingxenye enkulu ye-AI nesayensi yedatha. I-DL isebenzisa izakhiwo ze-algorithm ezisuselwe ekusebenzeni kobuchopho bomuntu. Ama-algorithm anjalo abizwa Amanethiwekhi eNeural (NNs) futhi ahlanganisa ama-neurons akha izendlalelo. I-NN ejwayelekile inokokufaka, okukhiphayo, kanye nenqwaba yezendlalelo ezifihliwe.
Idatha idluliswa kulezi zendlalelo futhi i-NN ifunda izici zedatha enikeziwe.
Kuyini I-TensorFlow?
I-TensorFlow iyinhlangano evulekile-umthombo Uhlaka lokufunda okujulile olwakhiwe i-Google. Lolu hlaka olusebenzisa izibalo lusekelwe ekugelezeni kwedatha nasekuhleleni okuhlukanisekayo futhi lusetshenziselwa ukwenza kanjalo ukwakha futhi uqeqeshe Neural Networks ngokusebenzisa amathuluzi ahlukahlukene, imitapo yolwazi, nezinsiza zomphakathi. Kusukela manje, i-TensorFlow iyinkundla ehamba phambili yokudala Ukufunda Okujulile amamodeli kanye Neural Networks.
I-TensorFlow iphatha idatha ngendlela ye-multi-dimensional arrays yobukhulu obuphakeme obubizwa ngokuthi ama-tensor, ama-tensor ayisixazululo esiwusizo sokuphatha inani elikhulu ledatha. Uhlaka lusebenza ngokusekelwe kumagrafu okugeleza kwedatha anama-node nemiphetho. Njengoba indlela yokwenza isesimweni samagrafu, kulula kakhulu ukusebenzisa ikhodi ye-TensorFlow ngendlela esabalaliswa kwiqoqo lamakhompyutha kuyilapho kusetshenziswa ama-Graphical Processing Units (GPUs). Iphinde ikuvumela ukuthi wakhe i-flowchart yemisebenzi engenziwa kokokufaka kwakho.
Izici Key
- Yakhelwe ukusebenza kuma-CPU amaningi noma ama-GPU kanye nezinhlelo zokusebenza zeselula.
- Isekela izilimi zokuhlela ezimbalwa ezihlanganisa iPython, C++, neJava.
- Ihlanganisa ama-API ahlukene ukuze kwakhiwe futhi kukale izakhiwo zokufunda ezijulile njenge-CNN noma i-RNN.
- Isebenzisa ama-API weleveli ephezulu enembile njenge-Keras ngokusebenza okulangazela.
- Ukuphindaphinda imodeli ngokushesha nokususa iphutha kalula.
- Isekela ukusetshenziswa emafini, endaweni, kusiphequluli, noma kudivayisi.
- I-API eyakhelwe ngaphakathi yokulayisha nokuphatha idatha.
- Ivumela ukuhlolwa kocwaningo olunamandla.
- Iqinile futhi isekela ku-inthanethi evulekile-umthombo Umphakathi.
Izicelo
Kunezicelo eziningi ze- Ukufunda Okujulile umtapo wolwazi, inani elincane lawo linikezwe kanje:
- Ukuhlakanipha okungekhona okwangempela izicelo: chatbots nabasizi virtual.
- Izinhlelo zokusebenza ze-Computer Vision: amamodeli wokuqashelwa kwesithombe, ukutholwa kwento kanye nezigaba.
- Izinhlelo zokusebenza Zokucubungula Inkulumo: amasistimu okuhlaziya izwi lomuntu namaphethini okukhuluma.
- Izinhlelo zokusebenza zokucutshungulwa kwezithombe: amamodeli okwenza amasu okuguqula ezithombeni.
- Izinhlelo zokusebenza Zokucubungula Ulimi Lwemvelo: ukuqashelwa okusekelwe ematheksthini kanye ukuhlaziywa kwemizwa amamodeli.
Ukuthola i-TensorFlow
Njengoba sekushiwo, i-TensorFlow ingumthombo ovulekile futhi imahhala ukuyisebenzisa. Landela lezi zinyathelo ezingezansi ukuze uthole uhlaka.
Isinyathelo 1
Ngalesi sinyathelo, landa futhi ufake inguqulo ye-bootstrap yepayipi ebizwa ngokuthi 'get-pip.py' ngaphandle uma usuvele usuyifakile. Ungayilanda lapha.
Isinyathelo 2
Vula i-Integrated Development Environment yakho yePython, Java, C++, nanoma iyiphi enye ulimi lohlelo isetshenziswe futhi isekelwe yi-TensorFlow. Ungabuka uhlu lapha.
Manje shintsha inkomba yakho ibe yilena equkethe ifayela le-get-pip.py bese uthayipha umyalo: py get-pip.py
Isinyathelo 3
Uma ukufakwa sekuqediwe, mane uthayiphe umyalo: ukufaka i-pip -thuthukisa i-tensorflow ukuqala ukufaka i-TensorFlow usebenzisa i-pip.
Futhi yilokho. Manje usufake i-TensorFlow futhi usulungele ukusetshenziswa!
Ukusebenzisa i-Tensorflow
Ukusebenzisa uhlaka, mane ungenise umtapo wolwazi usebenzisa umyalo olandelayo:
Manje ungasebenzisa umyalo we-' tf ' ukufinyelela amamojula ahlukene omtapo wolwazi. Okulandelayo yisibonelo sokungenisa amamodeli e-AI kwa-TensorFlow.
Futhi yilokho! Manje kufanele ukwazi ukusebenzisa i-TensorFlow ezinhlelweni zakho ze-AI kalula.
Isiphetho
I-TensorFlow iyiguqule ngempela indlela esidala ngayo amasistimu e-AI futhi inezinhlelo zokusebenza ezinamandla zomhlaba wangempela. Kusukela ekwakheni nasekuqeqesheni amamodeli e-ML kuya ekusetshenzisweni, i-TensorFlow inikeza izinsiza eziqinile ukuze udale amaphrojekthi e-ML.
Ngethemba ukuthi lokhu kuhamba ngokushesha kukusiza ukuthi wenze imibono yakho iphile kalula. Sazise imicabango yakho ngalolu hlaka oluhamba phambili esigabeni sokuphawula esingezansi.
shiya impendulo