2017-06-01ãã1ã¶æéã®è¨äºä¸è¦§
ååã¾ã§ã§ãã¼ã¿å¦çé¨ã®ãããå¦çåã¾ã§å®äºããã®ã§ãå¦ç¿ã®ããã®èª¤å·®éä¼æ¬æ³ãCè¨èªã§å®è£ ããã ä»åããPythonã§ã®å®è£ ãåèã«ããªãããé次ãã¼ã¿ãæ½åºãã¦ãè¨ç®çµæãåããè¾¼ãã§å®è£ ãã¦ããã ã¾ãã¯ãåå¦çã«ã¤ãã¦ã©ã®ãããªè¡åæ¼ç®ãâ¦
ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ã1ããCè¨èªã§è¨è¿°ãã¦MNISTãåä½ãããããã¸ã§ã¯ãã次ã¯ããããµã¤ãºãå°å ¥ãã¦ä¸åº¦ã«è¤æ°ã®ç»åãå¦çã§ããããã«æ¡å¼µããã ããããµã¤ãºãå°å ¥ããåãã¤ã¾ãæ©è½ã®æç¹ã§ã®ãããã¯ã¼ã¯ã®æ§æã¯ã以ä¸ã®ããã«ãªã£ã¦ãããâ¦
ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ã1ããC/C++ã§è¨è¿°ãã¦MNISTãåä½ããã¦ã¿ã話ãå®è£ ã®ã©ããééã£ã¦ããã®ãåãããªãã®ã§ãPythonã®å®è£ ã§éã¿é¨åãæ½åºãããã©ã¡ã¼ã¿ããã®ã¾ã¾å½ã¦ã¯ãã¦æ¤ç®ãã¦ããã ååPythonãããã©ã¡ã¼ã¿ãæ½åºããããã°ã©ã ã¯æ½â¦
First Workshop on Computer Architecture Research with RISC-V (CARRV 2017) RISC-Vã®ã¯ã¼ã¯ã·ã§ããã¯ããã¾ã§ã«ããã¤ãéå¬ããã¦ãããæè¿ã®éå¬ã§ã¯ã¡ããã©5æã«éå¬ãããã6th RISC-V Workshop in ä¸æµ·ã ã£ãã ããã¾ã§ã®RISC-Vã¯ã¼ã¯ã·ã§ããã¯â¦
ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ã1ããC/C++ã§è¨è¿°ãã¦MNISTãå®è¡ãã¦ã¿ãããã¸ã§ã¯ãããªããªããã¾ãè¡ããªãã å¦ç¿ã®ãã§ã¼ãºã¯ã¨ããããç½®ãã¦ããã¦ãå¦ç¿æ¸ã¿ã®ãã©ã¡ã¼ã¿ã使ã£ã¦ãããã¯ã¼ã¯ã«åæå¤ãå ¥åããã©ã®ããã«è¨ç®ãããããã§ãã¯ãã¦ããâ¦
å æå·ã¯ã¹ããããããã©ãä»æå·ã¯è²·ã£ã¦ãã¾ã£ãã Raspberry-Pi3ã¯æã£ã¦ããã®ã§ã試ãã¦ã¿ãªããã°ã Interface(ã¤ã³ã¿ã¼ãã§ã¼ã¹) 2017å¹´ 08 æå·åºç社/ã¡ã¼ã«ã¼: CQåºççºå£²æ¥: 2017/06/24ã¡ãã£ã¢: éèªãã®ååãå«ãããã°ãè¦ã
DAC(Design Automation Conference)ã§ãRISC-Vã®çºè¡¨ãè¡ãããããã ãMLã§çºè¡¨è³æãæµãã¦ãã¦ããã VectorBloxã¨ããã«ããã®çµã¿è¾¼ã¿ããã»ããµã®ä¼ç¤¾ã®çºè¡¨ã ã DAC presentation slides (survey results on RISC V implementations) Google ã°ã«ã¼ãâ¦
MNISTã®ãã¼ã¿ã¯ä¸è¬ã«èª°ã§ãæã«å ¥ãããã¨ãã§ããã TensorFlowãCNTK, ãã¼ãããä½ããã£ã¼ãã©ã¼ãã³ã°ãã®æ¸ç±ãªã©ã§ã¯ãã¤ã³ã¿ã¼ãããããMNISTã®ãã¼ã¿ãç´æ¥ãã¼ããã¦ããææ³ãç¨æããã¦ãããåå¿è ã§ãç°¡åã«MNISTã試ããã¨ãã§ãããããªâ¦
ååã¾ã§ã§ããæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ããããåã£ãã®ã ããããã使ã£ã¦ããããªãã¨ããã£ã¦ã¿ããã æ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ âCè¨èªã«ããã·ãã¥ã¬ã¼ã·ã§ã³âä½è : å°é«ç¥å®åºç社/ã¡ã¼ã«ã¼: ãªã¼ã 社çºå£²æ¥: 2016/05/21ã¡ãã£ã¢: åè¡æ¬ï¼ã½ããã«ãã¼ï¼ãã®åâ¦
ãã£ã¼ãã©ã¼ãã³ã°ã ãã§ã¯ãªãå 容ã æ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ âCè¨èªã«ããã·ãã¥ã¬ã¼ã·ã§ã³âä½è : å°é«ç¥å®åºç社/ã¡ã¼ã«ã¼: ãªã¼ã 社çºå£²æ¥: 2016/05/21ã¡ãã£ã¢: åè¡æ¬ï¼ã½ããã«ãã¼ï¼ãã®ååãå«ãããã° (4件) ãè¦ã ãæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ããã¨ããâ¦
ãæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ãããã£ã¦ã¿ããä»åã¯ç¬¬5ç« ã®æ·±å±¤å¦ç¿ã®ãã¡ãç³ã¿è¾¼ã¿ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ãå®è·µãã¦ã¿ãã 深層å¦ç¿ããããããã£ã¼ãã©ã¼ãã³ã°ã¯ãããã¾ã§ã®ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ã®é層ãããæ·±ããããã®ã ãã以ä¸ã®åé¡ãããã è¤éãªâ¦
CNTK 2.0ã«ã¤ãã¦åå¼·ãããCNTKã¯TensorFlowã¨åæ§ã«ãã¥ã¼ããªã¢ã«ãç¨æããã¦ããããããé²ãã¦ãããã¨ã«ãããã ã¾ãã¯ãLogistic Regression(å帰åæ)ãCNTKã®ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ã§æ§æããå帰åæãå¦ç¿ãã¦ã¿ãã https://github.com/Microâ¦
ãæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ãããã£ã¦ã¿ããä»åã¯ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ã«ãããããã¯ãããã²ã¼ã·ã§ã³ã ã æ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ âCè¨èªã«ããã·ãã¥ã¬ã¼ã·ã§ã³âä½è : å°é«ç¥å®åºç社/ã¡ã¼ã«ã¼: ãªã¼ã 社çºå£²æ¥: 2016/05/21ã¡ãã£ã¢: åè¡æ¬ï¼ã½ããã«ãã¼ï¼ãâ¦
ãæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ãã®æ¸ç±ããã£ã¦ã¿ããä»åã¯ç¬¬4ç« ã®ãã¥ã¼ã©ã«ãããã¯ã¼ã¯ã®é¨åããã¥ã¼ã©ã«ãããã¯ã¼ã¯èªä½ã¯ããã¾ã§ãåå¼·ããã®ã§ç¹ã«ç®æ°ãããã¨ã¯ãªãã ç®æ°ãããã¨ã¨ããã°Cè¨èªã«ããå®è£ ãããããªã¼ãã¨ãã£ã¦ãé åãä¹ç®ãã¦ããã â¦
ãæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ãã®ç¶ãããããä»åã¯3.2ç« ã®é²åçææ³ãããããéºä¼çã¢ã«ã´ãªãºã ã¨ãããã®ã ã æ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ âCè¨èªã«ããã·ãã¥ã¬ã¼ã·ã§ã³âä½è : å°é«ç¥å®åºç社/ã¡ã¼ã«ã¼: ãªã¼ã 社çºå£²æ¥: 2016/05/21ã¡ãã£ã¢: åè¡æ¬ï¼ã½ããã«ãã¼ï¼â¦
www.nextplatform.com The Next Platformã®è¨äºãHMC(Hybrid Memory Cube)ã¨ããè¨èãä¹ ãã¶ãã«èããã japanese.engadget.com Hybrid Memory Cube(HMC)ã¯æ¬¡ä¸ä»£ã®ã¡ã¢ãªè¦æ ¼ã§ãããDDR3ãããããé«æ§è½ãä½æ¶è²»é»åãéæãããã¨ã®ã§ããè¦æ ¼ã¨ãã¦ç«â¦
CNTK 2.0ã®ã¤ã³ã¹ãã¼ã«æ¹æ³ã¯è¤æ°åå¨ãããã¾ããä¸è¦ç°¡åããã«è¦ãããpipã使ã£ãã¤ã³ã¹ãã¼ã«ãããã¦ãã¹ã¯ãªããã使ã£ã¦ã»ããã¢ãããã¡ã¤ã«ããã¦ã³ãã¼ããã¦ã¤ã³ã¹ãã¼ã«ããæ¹å¼ã ã pipã使ã£ãã¤ã³ã¹ãã¼ã«æ¹æ³ã¯ç°¡åãªã®ã ããPythonã¤ã³ã¿â¦
ãæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ãã®æ¸ç±ãå¼ãç¶ããã£ã¦ã¿ãã æ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ âCè¨èªã«ããã·ãã¥ã¬ã¼ã·ã§ã³âä½è : å°é«ç¥å®åºç社/ã¡ã¼ã«ã¼: ãªã¼ã 社çºå£²æ¥: 2016/05/21ã¡ãã£ã¢: åè¡æ¬ï¼ã½ããã«ãã¼ï¼ãã®ååãå«ãããã° (4件) ãè¦ã ä»åã¯3.1ç« ã®è»ã³â¦
ãæ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ãã®æ¸ç±ãå¼ãç¶ããã£ã¦ã¿ããä»åã¯2.2ç¯ã®Qå¼·åå¦ç¿ããã£ã¦ã¿ãã æ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ âCè¨èªã«ããã·ãã¥ã¬ã¼ã·ã§ã³âä½è : å°é«ç¥å®åºç社/ã¡ã¼ã«ã¼: ãªã¼ã 社çºå£²æ¥: 2016/05/21ã¡ãã£ã¢: åè¡æ¬ï¼ã½ããã«ãã¼ï¼ãã®ååãå«ãâ¦
CNTK 2.0ã«ãããã£ã¼ããã©ã¯ã¼ãã®MNISTã®ãµã³ãã«ãä¹ã£ã¦ãããããã試è¡ãã¦ãä¸èº«ãå¯è½ãªéãç解ãã¦ã¿ããã ã¾ããMNISTã®ãã¼ã¿ã»ãããåå¾ããå¿ è¦ãããã®ã ããããã¯ä»¥ä¸ã®ãã¥ã¼ããªã¢ã«ã«åãã github.com cd Examples/Image/Classificaâ¦
æ©æ¢°å¦ç¿ã¨æ·±å±¤å¦ç¿ã®æ¸ç±ãèªãã§ã½ã¼ã¹ã³ã¼ãã®å®é¨ããã¦ã¿ãã第2ç« ãæ©æ¢°å¦ç¿ã®åºç¤ãã2.1ã帰ç´å¦ç¿ãã«ã¤ãã¦ãã½ã¼ã¹ã³ã¼ããè¦ãªãããã©ã¤ããã ä»åãããç解ãããã¨ã¹ã©ã¤ãã«ã¾ã¨ãã¦ã¢ãããã¼ããã¦ãããã¨ã«ããã ä»åã¯å¸°ç´å¦ç¿ã¨ãâ¦
RISC-V 6th workshopã¯NVIDIAï¼ ä¸æµ·ã§ç¡äºã«çµäºãããããã£ãã次ã®Workshopã®ã¢ãã¦ã³ã¹ãåºã¦ããã次ã¯Western Digitalï¼ ã«ãªãã©ã«ãã¢ãã«ãã¿ã¹ ã¨ã®ãã¨ã ã éå¬æ¥ã¯2017/11/28 - 11/30 ã ã Western Digitalã¨ããã°æ¥æ¬ã®æãã©ãã·ã¥ã¡ã¢ãªã¡ã¼â¦
Vivadoã§ã¯æ§ã ãªIPãçæãããã¨ãåºæ¥ãããããã¯IP Generatorã«ãã£ã¦GUIã§æ§ã ãªæä½ãè¡ãå¿ è¦ãããã ããã¯é¢åãªã®ã§ãã¹ã¯ãªããåãã¦ããã github.com Vivadoã®IPã¯ãã¾ãIPç¨ã®ããã¸ã§ã¯ããä½æããå¿ è¦ããããããã¹ã¯ãªããã¯ä»¥ä¸ã®ãâ¦
CNTKã®ä½¿ãæ¹ãåå¼·ãã¦ããããã©ããä¸æãè¡ããªãããã¯ãã¦ã¼ã¶ãå°ãªããããããã¡ãã¨ãã£ã¼ãããã¯ãããã£ã¦ããªãæ°ããããªã CNTK 2.0ããã¯Pythonã¤ã³ã¿ãã§ã¼ã¹ãå©ç¨ã§ããããã«ãªã£ããPythonã¤ã³ã¿ãã§ã¼ã¹ã§ã¯ãTensorFlowã¨åæ§ã«ããâ¦
TensorFlowã°ããã§ä½ãç®ç«ã£ã¦ããªãããMicrosoftã®æ©æ¢°å¦ç¿ãã¼ã«ãããã®CNTKã®v2.0ããªãªã¼ã¹ãããã CNTKã£ã¦ãCognitive Toolkitã®ç¥ç§°ãªã®ããåãã¦ç¥ã£ãæ°ãããã The Microsoft Cognitive Toolkit | Microsoft Docs CNTKãæåã«ãªãªã¼ã¹ããâ¦
以ä¸ãåèã«ããã qiita.com Raspibianã®ã¤ã³ã¹ãã¼ã« 以ä¸ãããNOOBSã®ãã«ã¤ã³ã¹ãã¼ã©çããã¦ã³ãã¼ãããã https://www.raspberrypi.org/downloads/noobs/ 以ä¸ã®ãããªç»é¢ãç¾ãã¦ãRaspberry-Pi3ç¨ã®Linuxã§ããRaspbianã®ã¤ã³ã¹ãã¼ã«ãå§ã¾ãâ¦
ãã¡ããRaspberry-Pi3ãAndroid Thingsã®ã»ããã¢ããããã¦ããã https://developer.android.com/things/preview/download.html androidthings_rpi3_devpreview_3.zip ã解åããã¨ãiot_rp3.imgãåºã¦ããã®ã§ããããSDã«ã¼ãã«æ¸ãã°ããã®ãã Androiâ¦
ã²ãããªãã¨ããRaspberry-Pi3ãè³¼å ¥ããã®ã§ã»ããã¢ãããããã¨æãã https://www.raspberrypi.org/downloads/ ãããWindows 10 IoT Coreãé¸æããã âSelect Your Hardwareâ 㧠âRaspberry Pi 3"ãé¸æããã ãã®å¾ç¾ãã"Select your installationâ¦
ããä¸åº¦ãè °ãæ®ãã¦ãã£ããèªã¿ããæ°ããããã ã¼ãããä½ãDeep Learning âPythonã§å¦ã¶ãã£ã¼ãã©ã¼ãã³ã°ã®çè«ã¨å®è£ ä½è : æè¤åº·æ¯ åºç社/ã¡ã¼ã«ã¼: ãªã©ã¤ãªã¼ã¸ã£ãã³çºå£²æ¥: 2016/09/24ã¡ãã£ã¢: åè¡æ¬ï¼ã½ããã«ãã¼ï¼ãã®ååãå«ãããã° (â¦
æå¾ã¯ããããã¦ã¼ã¶ã¢ããªã±ã¼ã·ã§ã³ã®ä½æã¨ãªãã /proc/myledçµç±ã§ZedBoardã®LEDãå¶å¾¡ã§ããããã«ãªã£ãã®ã§ãã¢ããªã±ã¼ã·ã§ã³ãä½æããã LEDãå¶å¾¡ããã¦ã¼ã¶ã¢ããªã±ã¼ã·ã§ã³ã®ä½æ 以ä¸ã®ãã¼ã¸ãåèã«ãã¦ãLEDãå¶å¾¡ããã¢ããªã±ã¼ã·ã§ã³ãâ¦