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7. Input and Output
7. Input and Output¶ There are several ways to present the output of a program; data can be printed in a human-readable form, or written to a file for future use. This chapter will discuss some of the possibilities. 7.1. Fancier Output Formatting¶ So far we’ve encountered two ways of writing values: expression statements and the print() function. (A third way is using the write() method of file ob
Centos7+anaconda2.4.1ã§tensorflowをインストールã™ã‚‹ - Qiita
python3 -V Python 3.5.1 :: Anaconda 2.4.1 (64-bit) pip -V pip 8.1.1 from /root/anaconda3/lib/python3.5/site-packages (python 3.5) å…¬å¼ã‚µã‚¤ãƒˆã®æ‰‹é †ã«å¾“ã£ã¦ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« pip,virtualenv,dockerを使ã£ãŸæ–¹æ³•ãŒç´¹ä»‹ã•ã‚Œã¦ã„ã‚‹ãŒã€ 今回ã¯pipã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹ã€‚ 紹介ã•ã‚Œã¦ã„ãŸpipã§ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã‚³ãƒžãƒ³ãƒ‰ã§ã¯ã‚¨ãƒ©ãƒ¼ãŒç”Ÿã˜ãŸã€‚ pip3ãŒå…¥ã£ã¦ã„ãªã‹ã£ãŸã®ã§ã€pipã§å®Ÿè¡Œã—ãŸãŒã€python3.4ã§ã¯ãªã‹ã£ãŸãŸã‚ã‹ä¸‹è¨˜ã®ã‚ˆã†ãªã‚¨ãƒ©ãƒ¼ãŒç”Ÿã˜ãŸã€‚ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0rc0-cp34-cp34m
tensorflow/tensorflow/tools/docker at master · tensorflow/tensorflow · GitHub
WARNING: THESE IMAGES ARE DEPRECATED. TensorFlow's Dockerfiles are now located in tensorflow/tools/dockerfiles/. However, these Dockerfiles are still used to build TensorFlow's official Docker images while the internal infrastructure for the newer Dockerfiles is being developed. This directory will eventually be removed. Using TensorFlow via Docker This directory contains Dockerfiles to make it ea
ディープラーニング（TensorFlow）を使用ã—ãŸæ ªä¾¡äºˆæƒ³ ～ãã®2～ - Qiita
å‰å›žã®ç¶šã。 ディープラーニングã®ãƒ•ãƒ¬ãƒ¼ãƒ ワークã§ã‚ã‚‹TensorFlowを使用ã—ã¦æ ªä¾¡ã‚’予想ã™ã‚‹ãžï½žã€ã¨ã„ã†ãŠè©±ã§ã™ã€‚ã¡ãªã¿ã«å‰å›žã¯å®Œå…¨ã«å¤±æ•—ã§ã—ãŸã€‚ å‰å›žã®ã‚³ãƒ¡ãƒ³ãƒˆã§ã€tawagoã•ã‚“ã‹ã‚‰ã€ŒGoogleãŒåŒã˜ã‚ˆã†ãªã“ã¨ã—ã¦ã„ã‚‹ã€ã¨ã„ã†æƒ…å ±ã‚’ã„ãŸã ã„ãŸã®ã§ã€ãã¡ã‚‰ã‚’コピ・・・インスパイアã—ã¦ã¿ã¾ã—ãŸã€‚ ##å‰å›žã¨ã®ç›¸é•ç‚¹ å‰å›žã¯ã€ã€Œæ•°æ—¥åˆ†ã®æ—¥çµŒå¹³å‡ã‚’使用ã—ã¦ã€æ¬¡ã®æ—¥ã®æ—¥çµŒå¹³å‡ãŒä¸ŠãŒã‚‹ã‹ã€ä¸‹ãŒã‚‹ã‹ã€å¤‰ã‚らãªã„ã‹ï¼ˆ3択）を予想ã™ã‚‹ã€ã‚‚ã®ã§ã—ãŸã€‚ Googleã®ãƒ‡ãƒ¢ã§ã¯ã€ã€Œæ•°æ—¥åˆ†ã®ä¸–ç•Œä¸ã®æ ªä¾¡æŒ‡æ•°ï¼ˆãƒ€ã‚¦ã€æ—¥çµŒå¹³å‡ã€FTSE100ã€DAXãªã©ï¼‰ã‚’使用ã—ã¦ã€æ¬¡ã®æ—¥ã®S&PãŒä¸ŠãŒã‚‹ã‹ä¸‹ãŒã‚‹ã‹ï¼ˆ2択）を予想ã™ã‚‹ã€ã¨ã„ã†å†…容ã§ã—ãŸã€‚ ã¨ã„ã†ã“ã¨ã§ã€ä¸‹è¨˜ãŒå‰å›žã‹ã‚‰ã®ä¸»ãªå¤‰æ›´ç‚¹ã¨ãªã‚Šã¾ã™ã€‚ 「上ãŒã‚‹ã‹ã€ã€Œä¸‹ãŒã‚‹ã‹ã€ã®2択 日経平å‡ã ã‘ã§ãªãã€ä»–国ã®æ ªä¾¡æŒ‡æ•°ã‚‚使用 éš ã‚Œå±¤x2ã€ãƒ¦ãƒ‹ãƒƒãƒˆæ•°ã¯50,25 予想ã™ã‚‹
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