Ukutholwa kwe-TensorFlow ngesi-French ku-Coursera

Ukuqeqeshwa kwe-“Introduction to TensorFlow in French” kuyisinyathelo se-Google Cloud, esitholakala ku-Coursera. Kuyingxenye ebalulekile "yokufunda ngomshini nge-TensorFlow ku-Google Cloud ngesi-French". Lokhu kuqeqeshwa kuhloselwe labo abafisa ukujula ekufundeni komshini. Inhloso yakhe? Nikeza ukuphatha okuqinile kwe-TensorFlow 2.x ne-Keras.

Enye yezinzuzo ezinkulu zalokhu kuqeqeshwa ukuthi kuklanyelwe abafundi ngemodi "yomlaleli wamahhala". Le ndlela yamahhala iqinisekisa ukufinyeleleka okuphezulu. Ngaphezu kwalokho, inikeza ukuqhubeka okuguquguqukayo. Ngakho, umhlanganyeli ngamunye uthuthuka ngejubane lakhe. Amamojula akhuluma ngokudala amaphayiphi edatha nge I-TensorFlow 2.x. Ziphinde zihlanganise ukusetshenziswa kwamamodeli e-ML nge-TensorFlow 2.x kanye ne-Keras.

Kuwo wonke amaseshini, ukubaluleka kwe-tf.data kuyagqanyiswa. Lo mtapo wezincwadi ubalulekile ekulawuleni umthamo omkhulu wedatha. Abafundi baphinde bathola amaSequential and Functional APIs we-Keras. Lawa mathuluzi abalulekile ekwakheni amamodeli, alula noma anemininingwane. Ukuqeqeshwa kuphinde kukhanyisele izindlela zokuqeqesha, ukuthunyelwa kanye nokufaka amamodeli e-ML ekukhiqizeni, ikakhulukazi nge-Vertex AI.

Kafushane, lokhu kuqeqeshwa okuku-inthanethi kuyimayini yolwazi. Ihlanganisa ithiyori kanye nokwenza. Ilungiselela ngempumelelo umsebenzi wokufunda ngomshini. Ithuba okufanele lithathwe kubo bonke abathanda lo mkhakha.

Inguquko yokufunda komshini

I-TensorFlow yakwaGoogle isiphenduke insika yokufunda komshini. Ihlanganisa ubulula namandla. Abasaqalayo bathola kuyo umlingani ukuze baqale. Ochwepheshe bayibona njengethuluzi elingenakuqhathaniswa lamaphrojekthi abo athuthukile.

Enye yamandla amakhulu e-TensorFlow ukucubungula idatha ngesikhathi sangempela. Isici esibalulekile. Ivumela izinkampani ukuthi zihlaziye ngokushesha idatha yazo.

Ukuqeqeshwa esikwethulayo kunikeza ukujula okujulile emhlabeni we-TensorFlow. Abahlanganyeli bathola izici zayo eziningi. Bafunda ukuguqula idatha eluhlaza ibe imininingwane efanele. Lokhu kusiza ukuthathwa kwezinqumo futhi kukhuthaze ukuqamba okusha.

Ukwengeza, i-TensorFlow isekelwa umphakathi womhlaba. Lesi sisekelo somsebenzisi esisebenzayo siqinisekisa ukugeleza okuqhubekayo kwezibuyekezo. Iphinde inikeze ingcebo yezinsiza kulabo abafisa ukujulisa amakhono abo.

Kafushane, ukuba nolwazi ku-TensorFlow kunikeza inzuzo enkulu ku-AI. Kusho futhi ukulindela intuthuko yezobuchwepheshe kanye nokuba phambili ekusunguleni izinto ezintsha.

Umthelela we-TensorFlow emhlabeni wochwepheshe

I-TensorFlow ayilona nje ithuluzi. Ukuvukela umbuso. Emhlabeni wochwepheshe, uchaza kabusha izindinganiso. Amabhizinisi, amakhulu namancane, ayakubona ukubaluleka kwawo. Bakwamukela. Kwani ? Ukuze uhlale uqhudelana.

Iminyaka yanamuhla yedijithali idinga isivinini. Izimakethe ziyaguquguquka. Amathrendi ayashintsha. Futhi nge-TensorFlow, amabhizinisi angaqhubeka. Bayahlaziya. Bazivumelanisa nezimo. Basungula izinto ezintsha. Konke lokhu, ngesikhathi sangempela.

Kodwa akugcini lapho. Isici sokusebenzisana se-TensorFlow siyigugu. Amaqembu ahlakazeke ngokwendawo ayasebenzisana. Babelana ngemibono. Baxazulula izinkinga. Ndawonye. Ibanga alisesona isithiyo. Kuyithuba.

Ukuqeqeshwa kwe-TensorFlow, njengalolu esilwethulayo, lubalulekile. Babumba abaholi bakusasa. Laba baholi bayabuqonda ubuchwepheshe. Bayazi kahle. Bayisebenzisa ukuqondisa amaqembu abo empumelelweni.

Sengiphetha, i-TensorFlow akuyona imfashini edlulayo. Yikusasa. Okwamabhizinisi, ochwepheshe, awo wonke umuntu. Ukucwila kulo namuhla wukulungiselela ikusasa. Itshala imali esikhathini esizayo. Ikusasa eliqhakazile, elihlakaniphile nelingenamkhawulo.