You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Optimization for Deep Learning Highlights in 2017 Different gradient descent optimization algorithms have been proposed in recent years but Adam is still most commonly used. This post discusses the most exciting highlights and most promising recent approaches that may shape the way we will optimize our models in the future. This post discusses the most exciting highlights and most promising direct
We have developed an automated, top-down approach for analyzing underground forums. Using natural language processing and machine learning, our approach can automatically generate high-level information about underground forums with high accuracy. Read the paper About This is a collaborative study among researchers from the International Computer Science Institute, UC Berkeley, UC San Diego, and N
Security is a concern for any public facing web application. Good development practices can assist with defending against attempts from users looking to expose data or bring down an app. However, sometimes not all attack vectors are handled and new exploits are bound to be discovered. This is where security software can assist with monitoring and preventing unforeseen attacks. So what if you could
æ©æ¢°å¦ç¿ã«ããããæ¨ãããæ£®ãã®ã¢ãã«ã®æ¦è¦ [æå¾ è¬æ¼] åæå¤éã¨ã¢ã³ãµã³ãã«ï¼å帰森ã¨å æ³ã¢ãã«ã®è¦ç¹ âç§å·ä¸å¦ï¼åå¤§ï¼ ä¿¡å·å¦çç ç©¶ä¼ï¼SIPï¼https://goo.gl/PxAbbK 2017å¹´ 6æ19æ¥(æ) - 2017å¹´ 6æ20æ¥(ç«) åè·¯ã¨ã·ã¹ãã ç ç©¶ä¼ï¼CASï¼/ VLSIè¨è¨æè¡ç ç©¶ä¼ï¼VLDï¼/ ã·ã¹ãã æ°çã¨å¿ç¨ç ç©¶ä¼ï¼MSSï¼ åè) æ©æ¢°å¦ç¿ç ç©¶è ã»ç§å·ä¸å¦ãã [å大人å³é No.5] https://youtu.be/XNz3D26wy0oRead less
SWARM serverless hosting incentivised peer-to-peer storage and content distribution Swarm is a distributed storage platform and content distribution service, a native base layer service of the ethereum web3 stack. The primary objective of Swarm is to provide a decentralized and redundant store for dapp code and data as well as block chain and state data. Swarm is also set out to provide various ba
ããã¯Mercari Advent Calendar 2017 ã®2æ¥ç®ã®è¨äºã§ãã æ¨æ¥ã¯ @stanaka ã®åæ£ãã¡ã¤ã«ã·ã¹ãã ã¯ãããã¯ãã§ã¼ã³ã®å¤¢ãè¦ãã ã§ããã ä»åã¯@Hmj_kd ããã¡ã«ã«ãªã®æ©æ¢°å¦ç¿ã®åãçµã¿ãæ©æ¢°å¦ç¿ã¨ã³ã¸ãã¢ã®ä»å¹´è¡ã£ã¦ããæ´»åã®ããã¤ãããç´¹ä»ãããã¨æãã¾ãã 以ä¸ãä¸é¨ã«ã¦æ©æ¢°å¦ç¿ãMLã¨ç¥ãã¾ãã ãã®1å¹´éã§æ©æ¢°å¦ç¿ã§åãçµãã ã㨠ç§ãå ¥ç¤¾ããã®ã¯2017/01ã§ã社å ã§ã¯äºäººç®ã®æ©æ¢°å¦ç¿ã¨ã³ã¸ãã¢ã§ããã ãã®å½æã¯ speakerdeck.com ã«ããããã«ããããã¯ãã«MLã«é¢ãããã®ã¯ããã¾ããã§ããã ç¾å¨ã¯ããã¼ã å ¨ä½ã§ããã¼ã¸ã£ãå«ãã¦ç´10人ã»ã©ã®çµç¹ã«ãªããæ´»çºã«å®é¨ãéçºãè¡ããã¦ãã¾ãã ããã¤ããåæãã¾ã㨠- åååºåæã®ä¾¡æ ¼æ¨å®ã¨ãµã¸ã§ã¹ã - ä¸é¨ã«ãã´ãªã«ã¤ãã¦ååã¿ã°ã®æ¨å® - åååºåæã®ã«ãã´ãª
ä»å¹´ããã¡ã«ã«ãªã§ãMercari Advent Calendar 2017ã¨ç§°ãã¦Advent Calendarãå§ãããã¨ã¨ãªãã¾ããã åæ¥ã¯ id:stanaka / @stanaka ããã³ãã³ãããå±ããã¾ãã 忣ãã¡ã¤ã«ã·ã¹ãã ã¨ããè¨èãèãã¨ããã©ã¦ããåºæ¿ããããã£ã¨é ãæ±ãã人ãå¤ããã¨æãã¾ããç§ããã®ä¸äººã§ã以åã«PBã¯ã©ã¹ã¾ã§ã¯ãããã¨ãæ°TBã®HDDãæ°ç¾å°ä¸¦ã¹ãã·ã¹ãã ã®ãå®ãããããã¨ããããæ¥ã å£ãç¶ããHDDã«è² è·ã«æ²é³´ãä¸ããã¡ã¿ãã¼ã¿DBãªã©ãã¿ã«ã¯å°ããªãç¶æ³ã§ãããããããæã«AWS S3ã触ãã¨ãããããããã¯å¤©å½ã ..ãã¨ãã¯ãéå»ã«ã¯æ»ããªãæãããããã®ã§ãã æè¿ã§ã¯åæ£ãã¡ã¤ã«ã·ã¹ãã ãéç¨ãã¦ããã¨ããããã£ããæ¸ã£ã¦ãã¦*1ããéå»ã®åéããªãã¨æã£ã¦ããã®ã§ãããããæ°å¹´ã§ããããã¯ãã§ã¼ã³ x 忣ãã¡ã¤ã«ã·ã¹ãã ãã¨ãã
å¤§è¦æ¨¡ãªä¸¦åã³ã³ãã¥ã¼ã¿ãæ´»ç¨ãã忣å¦ç¿ããã±ã¼ã¸ChainerMNã§ImageNetã®å¦ç¿ã15åã§å®äº æ ªå¼ä¼ç¤¾Preferred Networksï¼æ¬ç¤¾ï¼æ±äº¬é½å代ç°åºã代表åç· å½¹ç¤¾é·ï¼è¥¿å·å¾¹ãããªãã¡ã¼ããããã¯ã¼ã¯ã¹ã以ä¸ãPFNï¼ã¯ãå¤§è¦æ¨¡ãªä¸¦åã³ã³ãã¥ã¼ã¿ãMN-1â»1ããæ´»ç¨ããæ·±å±¤å¦ç¿ï¼ãã£ã¼ãã©ã¼ãã³ã°ï¼ã®å¦ç¿é度ã«ããã¦ä¸çæéãå®ç¾ãã¾ããã æ·±å±¤å¦ç¿ã¢ãã«ã®ç²¾åº¦ãåä¸ããããããå¦ç¿ãã¼ã¿ã®ãµã¤ãºãã¢ãã«ã®ãã©ã¡ã¼ã¿æ°ãå¢å ããããã«ã¨ããªã£ã¦è¨ç®æéãå¢å¤§ãã¦ãã¾ãã1åã®å¦ç¿ã«æ°é±éããããã¨ãç¨ã§ã¯ããã¾ãããè¤æ°ã®ã³ã³ãã¥ã¼ã¿ã飿ºããã¦å¦ç¿ãé«éåãããã¨ã¯ãæ°ããªã¢ã¤ãã£ã¢ã®è©¦è¡é¯èª¤ãæ¤è¨¼ã«è¦ããæéãå§ç¸®ããç´ æ©ãç ç©¶ææãããã¦ããããã«é常ã«éè¦ã§ãã 䏿¹ã§ãè¤æ°ã®ã³ã³ãã¥ã¼ã¿ã使ã£ã並å忣å¦ç¿ã«ããã¦ã¯ãé常ãGPUæ°ãå¢ããã»ã©ããããµ
NTT Comã°ã«ã¼ãã®ãã«ããã¼ãåGPUãã©ãããã©ã¼ã ãæ¡ç¨ æ ªå¼ä¼ç¤¾Preferred Networks(æ¬ç¤¾ï¼æ±äº¬é½å代ç°åºã代表åç· å½¹ç¤¾é· æé«çµå¶è²¬ä»»è ï¼è¥¿å· å¾¹ã以ä¸ï¼PFN)ã¯ãèªåé転æè¡ããã診æãã¯ããã¨ããæ·±å±¤å¦ç¿(ãã£ã¼ãã©ã¼ãã³ã°)ãªã©ã®ç ç©¶éçºç¨ãã©ã¤ãã¼ãã»ã¹ã¼ãã¼ã³ã³ãã¥ã¼ã¿ãã2017å¹´9æãã稼åãã¾ããããã®ã¹ã¼ãã¼ã³ã³ãã¥ã¼ã¿ã¯ãNTTã³ãã¥ãã±ã¼ã·ã§ã³ãºæ ªå¼ä¼ç¤¾(æ¬ç¤¾ï¼æ±äº¬é½å代ç°åºã代表åç· å½¹ç¤¾é·ï¼åºå¸ å²ä¹ã以ä¸ï¼NTT Com)ã¨æ ªå¼ä¼ç¤¾NTTPCã³ãã¥ãã±ã¼ã·ã§ã³ãº(æ¬ç¤¾ï¼æ±äº¬é½æ¸¯åºã代表åç· å½¹ç¤¾é·ï¼ç°ä¸ åºå¤«ã以ä¸ï¼NTTPC)ã®é«éæ¼ç®å¦ç(GPU)ãã©ãããã©ã¼ã ãæ¡ç¨ããè¨ç®ãã¼ãã«ã¯NVIDIA(R)製 Tesla(R) P100 GPUã1,024åºæè¼ãã¦ãã¾ããæ°é伿¥ã®ãã©ã¤ãã¼ããªè¨ç®ç°å¢ã¨ãã¦ã¯ãå½å æå¤§ç´ã¨ãªãã¾
Developers should be mad about this. Here's where to start contributing to open alternatives:ROCm: https://rocm.github.io/ OpenCL: https://www.khronos.org/opencl/ TensorFlow: https://github.com/tensorflow/tensorflow Nouveau: https://nouveau.freedesktop.org/wiki/ TensorFlow depends exclusively (st time of writing) on CUDA for GPU acceleration. Leaning on them to support OpenCL fully would unlock th
ã·ãªã³ã³ãã¬ã¼ã®æå大å¦ã§ããã¹ã¿ã³ãã©ã¼ã大å¦ã§ãAndrew Ngå çã®æããæ©æ¢°å¦ç¿ã®è¬ç¾©ã人æ°ãéãã¦ããããã®è¬ç¾©ã¯å½¢ãå¤ããcourseraã¨ããç¡æã®Webä¸ãªã³ã©ã¤ã³ã³ã¼ã¹ã¨ãã¦ãåè¬ã§ããããæ¥æ¬ã§ãæ©æ¢°å¦ç¿ã®åå¼·ãããã人éã®éã§ã人æ°ã®è¬ç¾©ã¨ãªã£ã¦ããã [Machine Learning by Stanford University] https://www.coursera.org/learn/machine-learning/ 人æ°ã®ç§å¯ Andrew Ngå çã®è¬ç¾©ã¯å 容ãé常ã«å®ç¨çã§ãããã¨ã人æ°ã®çç±ã®1ã¤ã¨ãã¦æããããã ãããAndrew Ngå çã¯ã·ãªã³ã³ãã¬ã¼ã®ä¼æ¥ãç¸æã«æ©æ¢°å¦ç¿ã®æå°ããã¦ããããããããã®çµé¨ãããçè«ã«èµ°ãããããæ©æ¢°å¦ç¿ãé©ç¨ããããã¸ã§ã¯ãã«ããã¦æ¬å½ã«ææç¾©ãªå 容ã«å¼·ããã©ã¼ã«ã¹ãã¦ãããã¨ãæããããã®ã ãAndr
ä»åã¯adversarial exampleã«ã¤ãã¦è§£èª¬ãã¦ããã¾ããAdversarial exampleã¨ããã®ã¯ãä¸å³ã®ããã«æåãä¸ãããã¨ã«ããã¢ãã«ã«ééã£ãçããåºåããã¦ãã¾ããã®ã®ãã¨ã§ãã ãã®ä¾ã§ã¯ããã¨ãã¨ã¢ãã«ããã³ãã¨æ£ããåé¡ãããã¨ãã§ãã¦ããç»åã«æåãä¸ãããã¨ã§ãããã¬ã¶ã«ã¨èª¤åé¡ããã¦ãã¾ãããããã人éã«ã¯å ã®ç»åã¨ã®éãã¯ã»ã¨ãã©åãããããã³ãã®ã¾ã¾ã«è¦ãã¾ãã Adversarial exampleã¯æ©æ¢°å¦ç¿ã¢ãã«ãå®ç¨åãã¦ããä¸ã§å¤§ããªåé¡ã¨ãªãã¾ããä¾ãã°ãäº¤éæ¨èãadversarial exampleã«ãã¦ãã¾ãã°ãèªåé転è»ãã ã¾ãã¦ãã¾ãå¯è½æ§ãããã¾ãã æ³¨ç®ãéãã¦ãã¦ããç ç©¶åéã§ãããã¾ã ã¡ããã¨èª¿ã¹ããã¨ããªãã¨ãã人ãå¤ããã¨æãã¾ããä»åããªãã¹ãä¸å¯§ã«è§£èª¬ãã¦ããããã¨æãã¾ãã ç®æ¬¡ åºç¤ æ»æ é²å¾¡ è«æç´¹ä»
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}