{"id":56370,"date":"2020-02-11T00:00:00","date_gmt":"2020-02-10T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning"},"modified":"2020-02-18T14:04:38","modified_gmt":"2020-02-18T11:04:38","slug":"kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sk\/blog\/news\/kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning","title":{"rendered":"Ako energetik som sa u\u010dil o neur\u00f3nov\u00fdch sie\u0165ach a preh\u013ead na bezplatn\u00fd kurz \u201eUdacity: \u00davod do TensorFlow pre hlbok\u00e9 u\u010denie\u201c","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Svoju cel\u00fa vedom\u00fa existenciu som bol energetikom (nie, teraz sa nehovor\u00ed o n\u00e1poji so sporn\u00fdmi vlastnos\u0165ami). <\/p>\n<p>Nikdy som sa zvl\u00e1\u0161\u0165 nezauj\u00edmal o svet informa\u010dn\u00fdch technol\u00f3gi\u00ed, dokonca ani matice by som si \u0165a\u017eko v hlave vyn\u00e1sobil. A nikdy som to ani nepotreboval, aby ste pochopili trochu o \u0161pecifike mojej pr\u00e1ce, m\u00f4\u017eem sa podeli\u0165 o skvel\u00fd pr\u00edbeh. Raz som po\u017eiadal svojich kolegov, aby vykonali pr\u00e1cu v Exceli \u2013 tabu\u013eke, pre\u0161la polovica pracovn\u00e9ho d\u0148a, prich\u00e1dzam k nim a oni sedia a s\u00fa s\u010d\u00edtavaj\u00fa \u00fadaje na kalkula\u010dke, \u00e1no, \u00e1no, na be\u017enej \u010diernej kalkula\u010dke s tla\u010didlami. No a o ak\u00fdch neur\u00f3nov\u00fdch sie\u0165ach sa potom m\u00f4\u017ee hovori\u0165?.. Tak\u017ee som nikdy nemal \u017eiadne osobitn\u00e9 predpoklady na ponor do sveta IT. Ale ako sa hovor\u00ed \u201edobre tam, kde n\u00e1s niet\u201c, moji priatelia mi podrobili u\u0161i o roz\u0161\u00edrenej realite, o neur\u00f3nov\u00fdch sie\u0165ach, o programovac\u00edch jazykoch (v\u00e4\u010d\u0161inou o Pythone).<\/p>\n<p>Na slov\u00e1 to vyzeralo pomerne jednoducho a rozhodol som sa, pre\u010do by som sa nemal osvoji\u0165 toto magick\u00e9 umenie na uplatnenie vo svojej sf\u00e9re \u010dinnosti.<\/p>\n<p>V tomto \u010dl\u00e1nku sa vyhnem mojim pokusom osvoji\u0165 si z\u00e1klady Pythona a podel\u00edm sa s vami o svoje dojmy z bezplatn\u00e9ho kurzu o TensorFlow od Udacity.<\/p>\n<p><img decoding=\"async\" alt=\"Ako energetik som sa u\u010dil o neur\u00f3nov\u00fdch sie\u0165ach a preh\u013ead na bezplatn\u00fd kurz \u201eUdacity: \u00davod do TensorFlow pre hlbok\u00e9 u\u010denie\u201c\" src=\"\/wp-content\/uploads\/2020\/02\/d8955ee8fd84fe551521a7675f425073.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2> \u00davod<\/h2>\n<p>\nNa za\u010diatok stoj\u00ed za zmienku, \u017ee po 11 rokoch v energetike, ke\u010f vie\u0161 a m\u00f4\u017ee\u0161 urobi\u0165 v\u0161etko a e\u0161te tro\u0161ku viac (v r\u00e1mci svojich povinnost\u00ed), u\u010denie sa radik\u00e1lne nov\u00fdm veciam \u2013 na jednej strane vyvol\u00e1va b\u00farliv\u00fd entuziazmus, ale na druhej strane sa obracia na fyzick\u00fa boles\u0165 \u201eozuben\u00fdch koliesok v hlave\u201c.<\/p>\n<p>Doteraz si e\u0161te \u00faplne neuvedomujem v\u0161etky z\u00e1kladn\u00e9 koncepty programovania a strojov\u00e9ho u\u010denia, tak\u017ee ma pros\u00edm nes\u00fa\u010fte pr\u00edsne. D\u00fafam, \u017ee m\u00f4j \u010dl\u00e1nok bude zauj\u00edmav\u00fd a u\u017eito\u010dn\u00fd pre tak\u00fdch, ako som ja \u2013 vzdialen\u00fdch od v\u00fdvoja softv\u00e9ru.<\/p>\n<p>Predt\u00fdm, ne\u017e prejdeme k preh\u013eadu kurzu, poviem, \u017ee na jeho \u0161t\u00fadium je potrebn\u00e9 aspo\u0148 minim\u00e1lne znalosti Pythona. M\u00f4\u017eete pre\u010d\u00edta\u0165 nieko\u013eko kn\u00edh pre za\u010diato\u010dn\u00edkov (ja som e\u0161te za\u010dal absolvova\u0165 kurz na Stepic, ale zatia\u013e som ho nedokon\u010dil). <\/p>\n<p>V samotnom kurze o TensorFlow nebud\u00fa \u017eiadne zlo\u017eit\u00e9 kon\u0161trukcie, ale pochopi\u0165, na \u010do sa importuj\u00fa kni\u017enice, ako je definovan\u00e1 funkcia a pre\u010do do nej nie\u010do nie\u010do zad\u00e1va\u0165, bude potrebn\u00e9.<\/p>\n<h2> Pre\u010do TensorFlow a Udacity? <\/h2>\n<p>\nHlavn\u00fdm cie\u013eom m\u00f4jho \u0161t\u00fadia bolo nau\u010di\u0165 sa rozpozn\u00e1va\u0165 fotografie prvkov elektroin\u0161tal\u00e1ci\u00ed pomocou neur\u00f3nov\u00fdch siet\u00ed. <\/p>\n<p>TensorFlow som si vybral, preto\u017ee som o \u0148om po\u010dul od svojich priate\u013eov. A ako som pochopil, tento kurz je dos\u0165 popul\u00e1rny.<\/p>\n<p>Sna\u017eil som sa za\u010da\u0165 \u0161t\u00fadium z ofici\u00e1lneho <noindex><a rel=\"nofollow\" href=\"https:\/\/www.tensorflow.org\/tutorials\"> tutori\u00e1lu <\/a><\/noindex>.<\/p>\n<p>A hne\u010f som narazil na dva probl\u00e9my.<\/p>\n<ul>\n<li>U\u010debn\u00fdch materi\u00e1lov je ve\u013ea a s\u00fa neusporiadan\u00e9. Sformulova\u0165 aspo\u0148 trochu s\u00favisl\u00fd obraz o rie\u0161en\u00ed \u00falohy rozpozn\u00e1vania obr\u00e1zkov bolo pre m\u0148a ve\u013emi \u0165a\u017ek\u00e9. <\/li>\n<li>V\u00e4\u010d\u0161ina \u010dl\u00e1nkov, ktor\u00e9 som potreboval, nie je prelo\u017een\u00e1 do ru\u0161tiny. Tak sa stalo, \u017ee v detstve som sa u\u010dil nem\u010dinu a teraz, ako mnoh\u00ed sovietski t\u00edned\u017eeri, neviem ani nem\u010dinu, ani angli\u010dtinu. Samozrejme, po\u010das svojej vedomej existencie som sa sna\u017eil osvoji\u0165 si angli\u010dtinu, ale v\u00fdsledky s\u00fa, ako na obr\u00e1zku. <\/li>\n<\/ul>\n<p>\n<img decoding=\"async\" alt=\"Ako energetik som sa u\u010dil o neur\u00f3nov\u00fdch sie\u0165ach a preh\u013ead na bezplatn\u00fd kurz \u201eUdacity: \u00davod do TensorFlow pre hlbok\u00e9 u\u010denie\u201c\" src=\"\/wp-content\/uploads\/2020\/02\/44250d475745cf02ee7126e31f695c3b.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nPo \u010fal\u0161om p\u00e1tran\u00ed na ofici\u00e1lnej str\u00e1nke som na\u0161iel odpor\u00fa\u010dania absolvova\u0165 <noindex><a rel=\"nofollow\" href=\"https:\/\/www.tensorflow.org\/resources\/learn-ml\/basics-of-machine-learning\/\"> jeden z dvoch online kurzov<\/a><\/noindex>.<\/p>\n<p>Ako som pochopil, kurz na Courcera bol platen\u00fd, zatia\u013e \u010do kurz <noindex><a rel=\"nofollow\" href=\"https:\/\/www.udacity.com\/course\/intro-to-tensorflow-for-deep-learning--ud187\"> Udacity: \u00davod do TensorFlow pre hlbok\u00e9 u\u010denie<\/a><\/noindex> sa dal absolvova\u0165 \"bezplatne, teda zadarmo\".<\/p>\n<h2> Obsah kurzu<\/h2>\n<p>\nKurz sa sklad\u00e1 z 9 lekci\u00ed. <\/p>\n<p>Prv\u00e1 sekcia je \u00favodn\u00e1, tam sa povie, na \u010do je vlastne potrebn\u00fd.<\/p>\n<p>Lekcia \u010d. 2 sa uk\u00e1zala by\u0165 moj\u00edm ob\u013e\u00faben\u00fdm. Bola dostato\u010dne jednoduch\u00e1 na to, aby sa dala pochopi\u0165, a z\u00e1rove\u0148 ukazovala z\u00e1zraky vedy. Ak to zhrniem, v tejto lekcii okrem z\u00e1kladn\u00fdch inform\u00e1ci\u00ed o neur\u00f3nov\u00fdch sie\u0165ach autori demon\u0161truj\u00fa, ako pomocou jedno vrstvy neur\u00f3novej siete vyrie\u0161i\u0165 \u00falohu prevodu teploty z Fahrenheita na Celzia.<\/p>\n<p>Je to skuto\u010dne ve\u013emi n\u00e1zorn\u00fd pr\u00edklad. Doteraz sed\u00edm a prem\u00fd\u0161\u013eam, ako pr\u00eds\u0165 na podobn\u00fa \u00falohu, ale len pre elektroin\u0161tal\u00e1ciu.<\/p>\n<p>Bohu\u017eia\u013e, \u010falej som sa zasekol, preto\u017ee u\u010di\u0165 sa nepochopite\u013en\u00e9 veci v nezn\u00e1mom jazyku je dos\u0165 \u0165a\u017ek\u00e9. Zachr\u00e1nilo ma to, \u017ee som na\u0161iel na Habre <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/453482\/\">preklad tohto kurzu do ru\u0161tiny<\/a><\/noindex>.<\/p>\n<p>Preklad bol dobre vykonan\u00fd, pozn\u00e1mky Colab boli tie\u017e prelo\u017een\u00e9, tak\u017ee som sa \u010falej d\u00edval aj do origin\u00e1lu, aj do prekladu.<\/p>\n<p>Lekcia \u010d. 3 je v podstate prepis materi\u00e1lov ofici\u00e1lneho tutori\u00e1lu TensorFlow. V tejto lekcii sa s pomocou viacvrstvovej neur\u00f3novej siete u\u010d\u00edme klasifikova\u0165 obr\u00e1zky s oble\u010den\u00edm (sada d\u00e1t Fashion MNIST).<\/p>\n<p>Hodiny od \u010d. 4 do \u010d. 7 s\u00fa tie\u017e prevzat\u00edm tutori\u00e1lu. Av\u0161ak, v\u010faka ich dobrej kompoz\u00edcii nie je potrebn\u00e9 samostatne sa zaobera\u0165 postupnos\u0165ou u\u010denia. V t\u00fdchto hodin\u00e1ch sa n\u00e1m v skratke predstav\u00ed ultra presn\u00e9 neur\u00f3nov\u00e9 siete, ako zv\u00fd\u0161i\u0165 presnos\u0165 u\u010denia a uchova\u0165 model. Pri tom budeme s\u00fa\u010dasne rie\u0161i\u0165 \u00falohu klasifik\u00e1cie ma\u010diek a psov na obr\u00e1zku.<\/p>\n<p>Hodina \u010d. 8 predstavuje \u00faplne samostatn\u00fd kurz, je tam in\u00fd lektor a samotn\u00fd kurz je dos\u0165 rozsiahly. Hodina je zameran\u00e1 na \u010dasov\u00e9 rady. Ke\u010f\u017ee ma to zatia\u013e nezauj\u00edma, prezrel som si to len letmo.<\/p>\n<p>Z\u00e1verom je hodina \u010d. 9, ktor\u00e1 je pozvan\u00edm na absolvovanie bezplatn\u00e9ho kurzu o TensorFlow Lite.<\/p>\n<h2> \u010co sa mi p\u00e1\u010dilo a nep\u00e1\u010dilo<\/h2>\n<p>\nZa\u010dnem s pozit\u00edvami:<\/p>\n<ul>\n<li> Kurz je bezplatn\u00fd <\/li>\n<li> Kurz je o TensorFlow 2. Niektor\u00e9 u\u010debnice, ktor\u00e9 som videl, a niektor\u00e9 kurzy na internete boli o TensorFlow 1. Neviem, ak\u00fd ve\u013ek\u00fd je rozdiel, ale je pr\u00edjemn\u00e9 u\u010di\u0165 sa aktu\u00e1lnu verziu. <\/li>\n<li> Lek\u00e1ri vo videu neob\u0165a\u017euj\u00fa (aj ke\u010f v ruskej verzii \u010d\u00edtaj\u00fa nie tak \u017eivo ako v origin\u00e1li) <\/li>\n<li> Kurz nezaber\u00e1 ve\u013ea \u010dasu<\/li>\n<li> Kurz nevyvol\u00e1va pocit sm\u00fatenia a bezn\u00e1deje. \u00dalohy v kurze s\u00fa jednoduch\u00e9 a v\u017edy je tu n\u00e1poveda vo forme Colab s spr\u00e1vnym rie\u0161en\u00edm, ak nie\u010do nie je jasn\u00e9 (a polovica \u00faloh mi nebola jasn\u00e1) <\/li>\n<li> Ni\u010d nie je potrebn\u00e9 in\u0161talova\u0165, v\u0161etky laborat\u00f3rne pr\u00e1ce kurzu sa daj\u00fa robi\u0165 v prehliada\u010di<\/li>\n<\/ul>\n<p>\nTeraz negat\u00edva:<\/p>\n<ul>\n<li> Takmer neexistuj\u00fa \u017eiadne kontroln\u00e9 materi\u00e1ly. \u017diadne testy, \u00falohy, ni\u010d na aspo\u0148 nejak\u00e9 overenie osvojenia kurzu <\/li>\n<li> Nie v\u0161etky notebooky mi fungovali, ako mali. M\u00e1m pocit, \u017ee v tretej hodine origin\u00e1lneho kurzu v angli\u010dtine mal Colab chybu a nevedel som, \u010do s \u0148ou robi\u0165 <\/li>\n<li> Je pohodln\u00e9 pozera\u0165 len na po\u010d\u00edta\u010di. Mo\u017eno som sa nedostal k tomu, ale nena\u0161iel som aplik\u00e1ciu Udacity na svojom smartf\u00f3ne. A mobiln\u00e1 verzia webu nie je prisp\u00f4soben\u00e1, teda takmer cel\u00fa plochu obrazovky zaber\u00e1 naviga\u010dn\u00e9 menu, ale aby ste videli hlavn\u00fd obsah, mus\u00edte pos\u00fava\u0165 do pravej \u010dasti mimo zorn\u00e9ho po\u013ea. Tie\u017e vide\u00e1 nie je mo\u017en\u00e9 sledova\u0165 na telef\u00f3ne. Na displeji s ve\u013ekos\u0165ou nie\u010do vy\u0161e 6 palcov sa ned\u00e1 ni\u010d poriadne vidie\u0165.<\/li>\n<li>Niektor\u00e9 veci sa v kurze viackr\u00e1t rozoberaj\u00fa, ale naozaj potrebn\u00e9 inform\u00e1cie o samotn\u00fdch konvolu\u010dn\u00fdch sie\u0165ach sa v kurze nerozoberaj\u00fa. T\u00fato glob\u00e1lnu cie\u013eov\u00fa \u00falohu niektor\u00fdch cvi\u010den\u00ed (napr\u00edklad, na \u010do je Max Pooling) som tak ani nepochopil. <\/li>\n<\/ul>\n<p><\/p>\n<h2> Zhrnutie<\/h2>\n<p>\nUr\u010dite ste u\u017e pri\u0161li na to, \u017ee z\u00e1zrak sa nekonal. A po absolvovan\u00ed tohto kr\u00e1tkeho kurzu nie je mo\u017en\u00e9 naozaj pochopi\u0165, ako funguj\u00fa neur\u00f3nov\u00e9 siete.<\/p>\n<p>Samozrejme, ani po tomto som nevedel s\u00e1m vyrie\u0161i\u0165 svoju \u00falohu s klasifik\u00e1ciou fotografi\u00ed vyp\u00edna\u010dov a tla\u010didiel v rozvodn\u00fdch zariadeniach. <\/p>\n<p>Ale vcelku je kurz u\u017eito\u010dn\u00fd. Ukazuje, ak\u00e9 veci je mo\u017en\u00e9 robi\u0165 s pomocou TensorFlow a v ktorom smere sa posun\u00fa\u0165 \u010falej. <\/p>\n<p>Mysl\u00edm, \u017ee na za\u010diatok sa mus\u00edm nau\u010di\u0165 z\u00e1klady Pythonu a pre\u010d\u00edta\u0165 knihy v sloven\u010dine o tom, ako funguj\u00fa neur\u00f3nov\u00e9 siete, a potom sa u\u017e pusti\u0165 do TensorFlow.<\/p>\n<p>Na z\u00e1ver by som chcel po\u010fakova\u0165 svojim priate\u013eom za to, \u017ee ma podnietili nap\u00edsa\u0165 prv\u00fd \u010dl\u00e1nok na \"Habr\" a pomohli mi ho upravi\u0165.<\/p>\n<p>P.S. Budem r\u00e1d za va\u0161e koment\u00e1re a ak\u00fako\u013evek kon\u0161trukt\u00edvnu kritiku.<br \/>\n<br \/>Zdroj: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/487950\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412\u0441\u044e \u0441\u0432\u043e\u044e \u0441\u043e\u0437\u043d\u0430\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0436\u0438\u0437\u043d\u044c, \u044f \u0431\u044b\u043b \u044d\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a\u043e\u043c (\u043d\u0435\u0442, \u0441\u0435\u0439\u0447\u0430\u0441 \u0440\u0435\u0447\u044c \u043d\u0435 \u0438\u0434\u0435\u0442 \u043e \u043d\u0430\u043f\u0438\u0442\u043a\u0435 \u0441 \u0441\u043e\u043c\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c\u0438 \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u0430\u043c\u0438). \u042f \u043d\u0438\u043a\u043e\u0433\u0434\u0430 \u043e\u0441\u043e\u0431\u043e \u043d\u0435 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043e\u0432\u0430\u043b\u0441\u044f \u043c\u0438\u0440\u043e\u043c \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439, \u0434\u0430 \u0438 \u0434\u0430\u0436\u0435 \u043c\u0430\u0442\u0440\u0438\u0446\u044b \u044f \u0432\u0440\u044f\u0434 \u043b\u0438 \u043d\u0430 \u043b\u0438\u0441\u0442\u043e\u0447\u043a\u0435 \u0441\u043c\u043e\u0433\u0443 \u043f\u0435\u0440\u0435\u043c\u043d\u043e\u0436\u0438\u0442\u044c. \u0414\u0430 \u0438 \u043d\u0435 \u043d\u0443\u0436\u043d\u043e \u043c\u043d\u0435 \u044d\u0442\u043e \u0431\u044b\u043b\u043e \u043d\u0438\u043a\u043e\u0433\u0434\u0430, \u0447\u0442\u043e\u0431\u044b \u0432\u044b \u043f\u043e\u043d\u0438\u043c\u0430\u043b\u0438 \u043d\u0435\u043c\u043d\u043e\u0433\u043e \u043e \u0441\u043f\u0435\u0446\u0438\u0444\u0438\u043a\u0435 \u043c\u043e\u0435\u0439 \u0440\u0430\u0431\u043e\u0442\u044b, \u043c\u043e\u0433\u0443 \u043f\u043e\u0434\u0435\u043b\u0438\u0442\u044c\u0441\u044f \u0437\u0430\u043c\u0435\u0447\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0439 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-56370","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412\u0441\u044e \u0441\u0432\u043e\u044e \u0441\u043e\u0437\u043d\u0430\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0436\u0438\u0437\u043d\u044c, \u044f \u0431\u044b\u043b \u044d\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a\u043e\u043c (\u043d\u0435\u0442, \u0441\u0435\u0439\u0447\u0430\u0441 \u0440\u0435\u0447\u044c \u043d\u0435 \u0438\u0434\u0435\u0442 \u043e \u043d\u0430\u043f\u0438\u0442\u043a\u0435 \u0441 \u0441\u043e\u043c\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c\u0438 \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u0430\u043c\u0438).\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/sk\/blog\/news\/kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.4\" \/>\n\t\t<meta property=\"og:locale\" content=\"sk_SK\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd47\u041a\u0430\u043a \u044d\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a \u0438\u0437\u0443\u0447\u0430\u043b \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438 \u0438 \u043e\u0431\u0437\u043e\u0440 \u043d\u0430 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u0443\u0440\u0441 \u00abUdacity: Intro to TensorFlow for Deep Learning\u00bb | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"\u0412\u0441\u044e \u0441\u0432\u043e\u044e \u0441\u043e\u0437\u043d\u0430\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0436\u0438\u0437\u043d\u044c, \u044f \u0431\u044b\u043b \u044d\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a\u043e\u043c (\u043d\u0435\u0442, \u0441\u0435\u0439\u0447\u0430\u0441 \u0440\u0435\u0447\u044c \u043d\u0435 \u0438\u0434\u0435\u0442 \u043e \u043d\u0430\u043f\u0438\u0442\u043a\u0435 \u0441 \u0441\u043e\u043c\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c\u0438 \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u0430\u043c\u0438).\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/sk\/blog\/news\/kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2020-02-10T21:00:00+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2020-02-18T11:04:38+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47Ako energetik som sk\u00famal neur\u00f3nov\u00e9 siete a preh\u013ead na bezplatn\u00fd kurz \u201eUdacity: \u00davod do TensorFlow pre hlbok\u00e9 u\u010denie\u201c | ProHoster","description":"Svoju cel\u00fa vedom\u00fa existenciu som bol energetikom (nie, teraz sa nehovor\u00ed o n\u00e1poji so sporn\u00fdmi vlastnos\u0165ami).","canonical_url":"https:\/\/prohoster.info\/sk\/blog\/news\/kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sk_SK","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u041a\u0430\u043a \u044d\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a \u0438\u0437\u0443\u0447\u0430\u043b \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438 \u0438 \u043e\u0431\u0437\u043e\u0440 \u043d\u0430 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u0443\u0440\u0441 \u00abUdacity: Intro to TensorFlow for Deep Learning\u00bb | ProHoster","og:description":"\u0412\u0441\u044e \u0441\u0432\u043e\u044e \u0441\u043e\u0437\u043d\u0430\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0436\u0438\u0437\u043d\u044c, \u044f \u0431\u044b\u043b \u044d\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a\u043e\u043c (\u043d\u0435\u0442, \u0441\u0435\u0439\u0447\u0430\u0441 \u0440\u0435\u0447\u044c \u043d\u0435 \u0438\u0434\u0435\u0442 \u043e \u043d\u0430\u043f\u0438\u0442\u043a\u0435 \u0441 \u0441\u043e\u043c\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c\u0438 \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u0430\u043c\u0438).","og:url":"https:\/\/prohoster.info\/sk\/blog\/news\/kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2020-02-10T21:00:00+00:00","article:modified_time":"2020-02-18T11:04:38+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"56370","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":null,"breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-02-28 19:26:38","updated":"2022-10-07 20:14:09","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/posts\/56370","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/comments?post=56370"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/posts\/56370\/revisions"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/media?parent=56370"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/categories?post=56370"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/sk\/wp-json\/wp\/v2\/tags?post=56370"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}