{"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\/et\/blog\/novosti-interneta\/kak-energetik-izuchal-nejroseti-i-obzor-na-besplatnyj-kurs-udacity-intro-to-tensorflow-for-deep-learning","title":{"rendered":"Kuidas energia valdkonna spetsialist \u00f5ppis tehisintellekti ja \u00fclevaade tasuta kursusest \u201eUdacity: Sissejuhatus TensorFlow'sse s\u00fcva\u00f5ppimise jaoks\u201c","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Olen kogu oma teadliku elu olnud energiatehnika spetsialist (ei, ma ei r\u00e4\u00e4gi hetkel kahtlaste omadustega joogist). <\/p>\n<p>Ma pole kunagi eriti huvitatud olnud infotehnoloogia maailmast, ja isegi maatrikseid ei oskaks ma lehel ilmselt kokku korrutada. Ja seda polnud mul ka kunagi vaja, et m\u00f5ista oma t\u00f6\u00f6 spetsiifikat, v\u00f5in jagada \u00fchte suurep\u00e4rast lugu. Kord palusin oma kolleegidel teha Excelis t\u00f6\u00f6d \u2013 tabelit, ja pool p\u00e4eva oli m\u00f6\u00f6das, l\u00e4hen nende juurde, kuid nad istuvad ja summeerivad andmeid kalkulaatoriga, jah, jah, tavalise musta kalkulaatoriga, kus on nupud. Nii et millest me r\u00e4\u00e4gime, kui r\u00e4\u00e4gime tehisn\u00e4rviv\u00f5rkudest?.. Seet\u00f5ttu polnud mul kunagi mingeid erilisi eelduseid IT maailmasse sukeldumiseks. Aga nagu \u00f6eldakse: \u201eh\u00e4sti on seal, kus meid pole\u201c, mu s\u00f5brad on r\u00e4\u00e4kinud mulle k\u00f5ikidest lisanduvast reaalsusest, tehisn\u00e4rviv\u00f5rkudest, programmeerimiskeeltest (peamiselt Pythonist).<\/p>\n<p>S\u00f5nades n\u00e4gi see v\u00e4lja \u00fcsna lihtne ja ma m\u00f5tlesin, miks mitte omandada see maagiline oskus, et seda oma valdkonnas rakendada.<\/p>\n<p>Selles artiklis j\u00e4tan k\u00f5rvale oma katsed \u00f5ppida Pythonit ja jagan teiega oma muljeid Udacity tasuta TensorFlow kursusest.<\/p>\n<p><img decoding=\"async\" alt=\"Kuidas energia valdkonna spetsialist \u00f5ppis tehisintellekti ja \u00fclevaade tasuta kursusest \u201eUdacity: Sissejuhatus TensorFlow&#039;sse s\u00fcva\u00f5ppimise jaoks\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> Sissejuhatus<\/h2>\n<p>\nEsiteks tasub m\u00e4rkida, et p\u00e4rast 11 aastat energiat\u00f6\u00f6stuses, kus sa tead ja oskad k\u00f5ike ning isegi veidi enam (oma \u00fclesannete raames), on uute asjade \u00f5ppimine \u00fchel poolt plahvatusohtlikult entusiastlik, kuid teiselt poolt muutub see f\u00fc\u00fcsiliseks valuks, nagu \u201ehammasrataste\u201d keeramine peas.<\/p>\n<p>Ma ei m\u00f5ista endiselt k\u00f5iki programmeerimise ja masin\u00f5ppe p\u00f5hikontseptsioone, seega ei tasu mind rangelt hinnata. Loodan, et minu artikkel on huvitav ja kasulik ka teistele selle valdkonna inimesed \u2014 neile, kes on tarkvaraarendusest kaugel.<\/p>\n<p>Enne kursuse \u00fclevaate juurde minekut, \u00fctlen, et selle uurimiseks on vajalik v\u00e4hemalt minimaalne Python'i teadlikkus. V\u00f5ib lugeda paar algaja raamatut (ma hakkasin ka Stepicis kursust l\u00e4bima, kuid ei ole seda veel t\u00e4ielikult l\u00f5petanud). <\/p>\n<p>TensorFlowi kursis ei ole keerulisi konstruktsioone, kuid on vajalik m\u00f5ista, miks raamatukogusid imporditakse, kuidas funktsioon m\u00e4\u00e4ratakse ja miks sinna midagi sisestatakse.<\/p>\n<h2> Miks TensorFlow ja Udacity? <\/h2>\n<p>\nMinu \u00f5ppimise peamiseks eesm\u00e4rgiks on soov tuvastada elektripaigaldiste elementide fotosid n\u00e4rviv\u00f5rkude abil. <\/p>\n<p>Valisin TensorFlow, kuna olin sellest kuulnud oma s\u00f5pradelt. Ja nagu ma aru sain, on see kursus piisavalt populaarne.<\/p>\n<p>Proovisin alustada \u00f5ppimist ametlikust <noindex><a rel=\"nofollow\" href=\"https:\/\/www.tensorflow.org\/tutorials\"> \u00f5petusest <\/a><\/noindex>.<\/p>\n<p>Ja silmitsi seisma kahe probleemiga.<\/p>\n<ul>\n<li>\u00d5ppematerjale on palju ja need on segamini. Oli v\u00e4ga raske kokku panna v\u00e4hemalt kuidagi terviklik \u00fclevaade piltide tuvastamise probleemide lahendamisest. <\/li>\n<li>Enamik vajalikke artikleid ei ole vene keelde t\u00f5lgitud. Nii on juhtunud, et lapsep\u00f5lves \u00f5ppisin saksa keelt ja n\u00fc\u00fcd, nagu paljud n\u00f5ukogude lapsed, ei oska ma ei saksa ega inglise keelt. Muidugi olen ma kogu oma teadlikku elu p\u00fc\u00fcdnud inglise keelt selgeks saada, kuid see pole v\u00e4lja tulnud just k\u00f5ige paremini. <\/li>\n<\/ul>\n<p>\n<img decoding=\"async\" alt=\"Kuidas energia valdkonna spetsialist \u00f5ppis tehisintellekti ja \u00fclevaade tasuta kursusest \u201eUdacity: Sissejuhatus TensorFlow&#039;sse s\u00fcva\u00f5ppimise jaoks\u201c\" src=\"\/wp-content\/uploads\/2020\/02\/44250d475745cf02ee7126e31f695c3b.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nUurides ametlikul kodulehelt, leidsin soovitused l\u00e4bida <noindex><a rel=\"nofollow\" href=\"https:\/\/www.tensorflow.org\/resources\/learn-ml\/basics-of-machine-learning\/\"> \u00fcks kahest veebikursusest<\/a><\/noindex>.<\/p>\n<p>Kuidas ma aru sain, oli Courcera kursus tasuline, aga kursust <noindex><a rel=\"nofollow\" href=\"https:\/\/www.udacity.com\/course\/intro-to-tensorflow-for-deep-learning--ud187\"> Udacity: Sissejuhatus TensorFlow'isse s\u00fcva\u00f5ppes<\/a><\/noindex> v\u00f5is l\u00e4bida \u00abtasuta, ehk kingitusena\u00bb.<\/p>\n<h2> Kursuse sisu<\/h2>\n<p>\nKursus koosneb 9 tunnist. <\/p>\n<p>Esimene sektsioon on sissejuhatav, seal r\u00e4\u00e4gitakse, milleks see kursus \u00fcldse vajalik on.<\/p>\n<p>Tund \u2116 2 osutus minu lemmikuks. See oli piisavalt lihtne, et seda m\u00f5ista, ning demonstreeris teaduse imesid. L\u00fchi\u00fclevaates, lisaks p\u00f5hiteadmistele n\u00e4rviv\u00f5rkude kohta, n\u00e4itavad loojad, kuidas \u00fchekihilise n\u00e4rviv\u00f5rgu abil lahendada \u00fclesanne, mis muundab temperatuuri Fahrenheiti kraadidest Celsiuse kraadidesse.<\/p>\n<p>See on t\u00f5eliselt k\u00f5nekas n\u00e4ide. Siiani m\u00f5tlen, kuidas sarnast \u00fclesannet v\u00e4lja m\u00f5elda ja lahendada, aga ainult elektri puhul.<\/p>\n<p>Kahjuks takerdusin edasi, kuna keeruliste asjade \u00f5ppimine tundmatus keeles on \u00fcsna raske. Mind p\u00e4\u00e4stis see, et leidsin Habralt <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/453482\/\">selle kursuse vene keelde t\u00f5lke<\/a><\/noindex>.<\/p>\n<p>T\u00f5lge on h\u00e4sti tehtud, ka Colabi plokid on t\u00f5lgitud, seega vaatasin edasi nii originaali kui t\u00f5lget.<\/p>\n<p>Tund 3 on sisuliselt \u00fcmberkirjutus TensorFlow ametlikest juhendmaterjalidest. Selles tunnis \u00f5pime mitmekihilise n\u00e4rviv\u00f5rgu abil klassifitseerima riideesemete pilte (andmekogum Fashion MNIST).<\/p>\n<p>Tunnid 4 kuni 7 on samuti juhendmaterjalide \u00fcmberkirjutused. Kuid kuna need on h\u00e4sti struktureeritud, ei ole vaja iseseisvalt j\u00e4rjekorrast aru saada. Nendes tundides r\u00e4\u00e4gitakse l\u00fchidalt k\u00f5rgt\u00e4psetest n\u00e4rviv\u00f5rkudest, \u00f5ppimise t\u00e4psuse t\u00f5stmisest ja mudeli salvestamisest. Samuti lahendame samal ajal kasside ja koerte pildiklassifitseerimise \u00fclesannet.<\/p>\n<p>Tund 8 on hoopis eraldi kursus, seda viib l\u00e4bi teine \u00f5petaja, ja kursus on piisavalt mahukas. Tund on p\u00fchendatud ajaloolistele andmestikele. Kuna see mind hetkel ei huvita, vaatasin selle \u00fcle kergelt.<\/p>\n<p>Kursuse l\u00f5petab tund 9, mis kutsub \u00fcles osalema tasuta kursusel TensorFlow Lite.<\/p>\n<h2> Mis meeldis ja ei meeldinud<\/h2>\n<p>\nAlustan plussidest:<\/p>\n<ul>\n<li> Kursus on tasuta <\/li>\n<li> Kursus \u2014 TensorFlow 2 kohta. M\u00f5ned \u00f5pikud, mida olen n\u00e4inud ja m\u00f5ned kursused internetis olid TensorFlow 1 kohta. Ei tea, kui suur on erinevus, kuid on tore \u00f5ppida praegust versiooni. <\/li>\n<li> Videodes olevad \u00f5petajad ei h\u00e4iri (kuigi vene versioonis loetakse v\u00e4hem energiliselt kui originaalis). <\/li>\n<li> Kursus ei v\u00f5ta palju aega.<\/li>\n<li> Kursus ei tekita kurbust ja lootusetust. Kursuse \u00fclesanded on lihtsad ja alati on olemas vihje Colab'i n\u00e4ol koos \u00f5ige lahendusega, kui midagi ei ole selge (ja mulle oli \u00fcsna palju \u00fclesandeid arusaamatud). <\/li>\n<li> Ei pea midagi installima, k\u00f5ik kursuse laborit\u00f6\u00f6d saab teha veebibrauseris.<\/li>\n<\/ul>\n<p>\nN\u00fc\u00fcd puudused:<\/p>\n<ul>\n<li> Peaaegu puuduvad kontrollmaterjalid. Ei teste, ei \u00fclesandeid, mitte midagi, et kuidagi kursuse omandamist kontrollida. <\/li>\n<li> Mitte k\u00f5ik mu notepad'id ei t\u00f6\u00f6tanud nagu vaja. Arvan, et originaalkursuse kolmandas \u00f5ppes andis Colab vea ja ma ei teadnud, mida selle probleemiga teha. <\/li>\n<li> Mugav vaadata ainult arvutis. V\u00f5ib-olla ma ei ole t\u00e4ielikult aru saanud, aga ma ei leidnud oma nutitelefonile Udacity rakendust. Ja mobiilsait ei ole kohandatav, see t\u00e4hendab, et navigeerimismen\u00fc\u00fc v\u00f5tab peaaegu kogu ekraani ala, kuid p\u00f5hisisu n\u00e4gemiseks tuleb paremale kerida. Samuti ei saa videot telefonis vaadata. Kuue tolli ekraanil ei saa midagi t\u00e4pselt eristada.<\/li>\n<li>M\u00f5ned asjad kursuses selgitatakse mitu korda, kuid tegelikult vajalikud punktid konvolutsiooniliste v\u00f5rkude kohta ei ole h\u00e4sti selgitatud. Ma ei saanud l\u00f5puks aru, mis on harjutuste globaalne eesm\u00e4rk (n\u00e4iteks miks on vaja Max Poolingut). <\/li>\n<\/ul>\n<p><\/p>\n<h2> Kokkuv\u00f5te<\/h2>\n<p>\nKindlasti olete juba arvanud, et imet ei juhtunud. P\u00e4rast selle l\u00fchikese kursuse l\u00e4bimist ei ole t\u00f5eliselt v\u00f5imalik aru saada, kuidas neuronv\u00f5rgud t\u00f6\u00f6tavad.<\/p>\n<p>Loomulikult ei suutnud ma p\u00e4rast seda iseseisvalt lahendada oma \u00fclesannet klassifitseerida fotod l\u00fclititest ja nuppudest jaotusseadmetes. <\/p>\n<p>Aga \u00fcldiselt on kursus kasulik. See n\u00e4itab, milliseid asju saab teha TensorFlow abil ja millises suunas edasi liikuda. <\/p>\n<p>Ma arvan, et enne peaksin \u00f5ppima p\u00f5hit\u00f5desid Pythonis ja lugema vene keeles raamatuid selle kohta, kuidas n\u00e4rviv\u00f5rgud t\u00f6\u00f6tavad, ning seej\u00e4rel juba TensorFlow'ga tegelema.<\/p>\n<p>L\u00f5petuseks tahan t\u00e4nada oma s\u00f5pru, kes julgustasid mind kirjutama esimest artiklit \u00abHabr'isse\u00bb ja aitasid selle vormistamisel.<\/p>\n<p>P.S. Ootan Teie kommentaare ja igasugust konstruktiivset kriitikat.<br \/>\n<br \/>Allikas: <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-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - 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 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