æè¿ãããã£ã¼ãã©ã¼ãã³ã°ãæ©æ¢°å¦ç¿ã¨ããã¯ã¼ããè³ã«ãã¦ããæ¹ãå¤ãã®ã§ã¯ãªããã¨æãã¾ããå··ã§ã¯AIæè¡ã¨å¼ã°ãããã¨ãããã¾ããã人éã®ç¥çµæ§é ã模ãããã¥ã¼ã©ã«ãããã¯ã¼ã¯ã使ã£ãå¦ç¿ã¢ã«ã´ãªãºã èªä½ã¯ãæ°åå¹´åããæå±ããã¦ãã¾ããã ãããå¤å±¤åãããã£ã¼ããããã¯ã¼ã¯ã¨è¨ãããæ§é ãç´åå¹´åããç»å ´ãã¦ãã¾ãããï¼å¹´ã»ã©åã«ç»åã®èªèã®ç²¾åº¦ã競ãã³ã³ããã£ã·ã§ã³ã§ããã£ã¼ãã©ã¼ãã³ã°ãç¨ããææ³ãæ¢åã®ææ³ã大ããå¼ãé¢ãã¦åå©ããã®ãç®åãã«ãä¸æ°ã«ç²¾åº¦ã®æ¹åãé²ã¿ãã¤ãã«äººéã¨å¤ãããªã精度ã§ã®å¤å®ãå¯è½ã«ãªã£ã¦ãã¾ããã ç»åèªèã®ã¨ã©ã¼çã®æ¨ç§» ç´«ããã£ã¼ãã©ã¼ãã³ã°ã使ã£ãææ³ https://devblogs.nvidia.com/parallelforall/mocha-jl-deep-learning-julia/ ãã ããããçµç·¯ãããããæ°å¹´ã§æ©æ¢°å¦ç¿ã¯
{{#tags}}- {{label}}
{{/tags}}