ã¯ã˜ã‚ã‚‹Deep learning - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? ãã†ã ã€Deep learningã‚’ã‚„ã‚ã†ã€‚ãã‚“ãªã‚ãªãŸã¸é€ã‚‹è§£èª¬è¨˜äº‹ã§ã™ã€‚ ãã†è¨€ã„ãªãŒã‚‰ã‚‚ç§è‡ªèº«å‹‰å¼·ã—ãªãŒã‚‰æ›¸ã„ã¦ã„ã‚‹ã®ã§èª¤è¨˜ã‚„勘é•ã„ãªã©ãŒã‚ã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“。もã—見ã¤ã‘ãŸã‚‰ã”連絡ãã ã•ã„。 Deep learningã¨ã¯ ã“ã¡ã‚‰ã®ã‚¹ãƒ©ã‚¤ãƒ‰ãŒã¨ã¦ã‚‚よãã¾ã¨ã¾ã£ã¦ã„ã¾ã™ã€‚ Deep learning ã¤ã¾ã‚‹ã¨ã“ã‚ã€Deep learningã®ç‰¹å¾´ã¯ã€Œç‰¹å¾´ã®æŠ½å‡ºã¾ã§ã‚„ã£ã¦ãれるã€ã¨ã„ã†ç‚¹ã«å°½ãã‚‹ã¨æ€ã„ã¾ã™ã€‚ 例ãˆã°ç›¸æ’²å–りを判定ã™ã‚‹ãƒ¢ãƒ‡ãƒ«ã‚’構築ã™ã‚‹ã¨ã—ãŸã‚‰ã€æ™®é€šã¯ã€Œè…°å›žã‚Šã‚µã‚¤ã‚ºã€ã€Œãƒžã‚²ã®æœ‰ç„¡ã€ã€Œå’Œè£…ã‹å¦ã‹ã€ã¨ã„ã£ãŸç‰¹å¾´ã‚’定義ã—ã¦ã€ãれを
How we break things at Twitter: failure testing
When you run an infrastructure at Twitter scale, hardware and network failures become unavoidable. Each of these failures has the potential to negatively impact the user experience, so it’s important that we design our systems to be as resilient to failure as possible. To test how our services react to unexpected failures, we created a framework that can inject controlled failure conditions into t
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リトライを肴ã«ä¸€æ™©é…’ãŒé£²ã‚ã‚‹å¤æ©‹ã§ã™ã€‚ 大è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ã«è§¦ã‚Œã‚‹ã“ã¨ãŒæ—¥å¸¸èŒ¶é£¯äº‹ã«ãªã£ã¦ã„る今日ã“ã®é ƒã€‚ã“ã®åˆ†é‡Žã®ãŠã‚‚ã—ã‚ã„ã¨ã“ã‚ã¯ã€ã„ã¤ã¾ã§çµŒã£ã¦ã‚‚終ã‚らãªã„プãƒã‚°ãƒ©ãƒ ã‚’ç°¡å˜ã«ä½œã‚Œã¦ã—ã¾ã†ã“ã¨ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“。エラー処ç†ã€ãƒªãƒˆãƒ©ã‚¤ãã—ã¦å†ªç‰æ€§*1ã®ï¼“ã¤ã‚’抑ãˆã¦ã„ãªã„プãƒã‚°ãƒ©ãƒ ã¯ã€å°è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ãªã‚‰å•é¡Œãªã„ãŒã€ãƒ‡ãƒ¼ã‚¿é‡ãŒå¤šããªã‚‹ã¨ä½¿ã„物ã«ãªã‚‰ãªããªã‚‹å¯èƒ½æ€§ãŒå¤§ã§ã™ã€‚ 大è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ã‚’ãƒãƒƒãƒå‡¦ç†ã™ã‚‹ã‚±ãƒ¼ã‚¹ä»¥å¤–ã§ã‚‚ã€ãƒªãƒˆãƒ©ã‚¤ã¯ä¸€èˆ¬ã«ãƒ—ãƒã‚°ãƒ©ãƒ ã®ä¿¡é ¼æ€§ã«é–¢ã‚ã‚‹é‡è¦ãªå•é¡Œã§ã™ã€‚ ãã‚“ãªã‚ã‘ã§ã€ãƒªãƒˆãƒ©ã‚¤ã«é–¢ã‚ã‚‹ã„ãã¤ã‹ã®ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ターンをã€é€£è¼‰ã§ã¾ã¨ã‚ã¦ãŠã“ã†ã¨æ€ã„ã¾ã™*2。 ã§ã¯ã€ç¬¬1回ã¯èƒŒæ™¯ã‹ã‚‰ï¼š ãªãœãƒªãƒˆãƒ©ã‚¤ãŒå¿…è¦ãªã®ã‹ プãƒã‚°ãƒ©ãƒ ã¯è‰²ã€…ãªç†ç”±ã§å¤±æ•—ã™ã‚‹ã€‚例ãˆã°ã€ A) 通信先ã®ãƒ—ãƒã‚°ãƒ©ãƒ ãŒé«˜è² è·ã™ãŽã¦å¿œç”ã§ããªã‹ã£ãŸ B) メモリを消費ã—ã™ãŽã¦ãƒ¡ãƒ¢ãƒªç¢ºä¿ã«å¤±æ•—ã—ãŸã€‚ã¾ãŸã¯OOM KIllerã«æ®ºã•
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https://www.cidrdb.org/cidr2015/Papers/CIDR15_Paper27.pdf
Ask HN: What info do you web scrape for? | Hacker News
https://cs.uwaterloo.ca/~ilyas/papers/StonebrakerCIDR2013.pdf
GitHub - jesolem/PCV: Open source Python module for computer vision
http://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf
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