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TL;DR Jupyter Notebookãã¢ããï¼ Rubyã¨ãElixirãåããã¦ã¿ããï¼ Dockerã³ã³ããã§åããã°æ¥½ï¼ Docker Toolboxã ãã§OKï¼ Pythonã®ç¥èãªãã¦ãç°å¢æ§ç¯ã§ãã RubyãElixirã®ç¥èããªãã¦ãJupyter Notebookä¸ã§ãããã®è¨èªãæ±ãã Jupyter Notebookã«ã¤ã㦠Jupyter Notebookããããï¼ã¨ãã話ã¯è²ã ãªã¨ããã§ãªããã¦ããããæ¬ç¨¿ã§ã¯çç¥ãã: Jupyterããããå¢ãã§ãã£ã¦ãããããåãåãã¨ãï¼IPython Notebook + Rï¼ - Qiita Railsã¨ã³ã¸ãã¢ã«å½¹ç«ã¤Jupyter Notebookã¨iRuby - ã¯ãã¯ãããéçºè ããã° ç¾ä»£ã®ã¨ã³ã¸ãã¢ã®ããã®å¼·åãªã¡ã¢å¸³ Jupyter notebookã®ããã - ã¯ãã¯ãããéçºè ããã° ãã®Ju
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Example input grayscale photos and output colorizations from our algorithm. These examples are cases where our model works especially well. For randomly selected examples, see the Performance comparisons section below. Welcome! Computer vision algorithms often work well on some images, but fail on others. Ours is like this too. We believe our work is a significant step forward in solving the color
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