Pruseciky: Jak vyucovat stroje pomoci umele inteligence

Published: Nov. 26, 2019, 10:15 a.m.

b'\\u010clov\\u011bk m\\xe1 r\\u016fzn\\xe9 metody, jak se u\\u010d\\xed \\u2013 od bezmy\\u0161lenkovit\\xe9ho biflov\\xe1n\\xed a\\u017e po hlubok\\xe9 porozum\\u011bn\\xed spojen\\xe9 se schopnost\\xed aplikace. Kter\\xe9 z t\\u011bchto metod lidsk\\xe9ho u\\u010den\\xed se sna\\u017e\\xed napodobit um\\u011bl\\xe1 inteligence, aby dos\\xe1hla sv\\xe9ho sebezdokonalov\\xe1n\\xed, rozv\\xedj\\xed v podcastu Pr\\u016fse\\u010d\\xedky Petr Matou\\u0161ek a Mari\\xe1n Mo\\u017eucha. Vysv\\u011btluj\\xed metody jako deep learning, reinforcement learning \\u010di vyu\\u017eit\\xed nep\\u0159\\xe1telsk\\xe9 inteligence. I p\\u0159es obrovsk\\xe9 kapacitn\\xed mo\\u017enosti um\\u011bl\\xe9 inteligence nar\\xe1\\u017e\\xed v\\u0161echny tyto metody p\\u0159i re\\xe1ln\\xe9m nasazen\\xed na ne\\u010dekan\\xe9 probl\\xe9my. V z\\xe1v\\u011bru je diskutov\\xe1n smysl u\\u010den\\xed se a tak\\xe9 moudr\\xfd p\\u0159\\xedstup k u\\u017eit\\xed um\\u011bl\\xe9 inteligence. Host: Mari\\xe1n Mo\\u017eucha'