{"id":36249,"date":"2019-10-31T22:10:29","date_gmt":"2019-10-31T19:10:29","guid":{"rendered":"https:\/\/prohoster.info\/blog\/nejroset-v-stekle-ne-trebuet-elektropitaniya-raspoznayot-tsifry\/"},"modified":"2019-10-31T22:10:29","modified_gmt":"2019-10-31T19:10:29","slug":"nejroset-v-stekle-ne-trebuet-elektropitaniya-raspoznayot-tsifry","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/news\/nejroset-v-stekle-ne-trebuet-elektropitaniya-raspoznayot-tsifry","title":{"rendered":"Neuronn\u00e4t i glas. Kr\u00e4ver ingen el, k\u00e4nner igen siffror","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"Neuronn\u00e4t
\n
\nVi k\u00e4nner alla till den f\u00f6rm\u00e5ga som neurala n\u00e4tverk har f\u00f6r att k\u00e4nna igen handskriven text. Grunderna f\u00f6r denna teknologi har funnits i m\u00e5nga \u00e5r, men f\u00f6rst p\u00e5 senare tid har framsteg inom datorkraft och parallell databehandling m\u00f6jliggjort att denna teknologi blivit en mycket praktisk l\u00f6sning. \u00c4nd\u00e5 kommer denna praktiska l\u00f6sning, i sin grund, att presenteras som en digital dator som upprepade g\u00e5nger \u00e4ndrar bitar, precis som vid utf\u00f6randet av vilket annat program som helst. Men n\u00e4r det g\u00e4ller det neurala n\u00e4tverket som utvecklats av forskare fr\u00e5n universiteten i Wisconsin, MIT och Columbia, \u00e4r saken annorlunda. De har skapat en glaspanel som inte beh\u00f6ver egen str\u00f6mf\u00f6rs\u00f6rjning, men \u00e4nd\u00e5 kan k\u00e4nna igen handskrivna siffror.<\/a><\/noindex>.
\n<\/a><\/noindex>
\nDetta glas inneh\u00e5ller noggrant placerade inslag, s\u00e5som luftbubblor, grafenf\u00f6roreningar och andra material. N\u00e4r ljus faller p\u00e5 glaset uppst\u00e5r komplexa v\u00e5gm\u00f6nster, som g\u00f6r att ljuset blir mer intensivt i ett av tio omr\u00e5den. Varje av dessa omr\u00e5den motsvarar ett visst nummer. Till exempel visas nedan tv\u00e5 exempel som visar hur ljuset sprider sig vid igenk\u00e4nning av siffran \"tv\u00e5\".<\/p>\n

\"Neuronn\u00e4t
\n
\nMed en tr\u00e4ningsupps\u00e4ttning p\u00e5 5000 bilder kan det neurala n\u00e4tverket korrekt k\u00e4nna igen 79% av 1000 ing\u00e5ende bilder. Teamet tror att de skulle kunna f\u00f6rb\u00e4ttra resultatet om de kunde \u00f6vervinna begr\u00e4nsningarna som orsakas av glasproduceringsprocessen. De b\u00f6rjade med en mycket begr\u00e4nsad design av enheten f\u00f6r att f\u00e5 en fungerande prototyp. D\u00e4refter planerar de att forts\u00e4tta utforska olika s\u00e4tt att f\u00f6rb\u00e4ttra igenk\u00e4nningen, samtidigt som de str\u00e4var efter att inte komplicera teknologin f\u00f6r mycket s\u00e5 att den sedan kan anv\u00e4ndas i produktionen. Teamet har ocks\u00e5 planer p\u00e5 att skapa ett tredimensionellt neuralt n\u00e4tverk i glaset.
\n
K\u00e4lla: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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