{"published":"2019-02-21 11:00:00","provider_name":"Hatena Blog","blog_url":"https://buildersbox.corp-sansan.com/","categories":["\u30a4\u30f3\u30bf\u30fc\u30f3","R&D","DSOC"],"blog_title":"Sansan Tech Blog","image_url":"https://cdn.user.blog.st-hatena.com/default_entry_og_image/153032544/1536219130709141","author_name":"S_aiueo321","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fbuildersbox.corp-sansan.com%2Fentry%2F2019%2F02%2F21%2F110000\" title=\"PyTorch\u3068\u8d85\u89e3\u50cf\u306b\u5165\u9580\u3059\u308b - Sansan Tech Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","type":"rich","author_url":"https://blog.hatena.ne.jp/S_aiueo321/","height":"190","version":"1.0","title":"PyTorch\u3068\u8d85\u89e3\u50cf\u306b\u5165\u9580\u3059\u308b","url":"https://buildersbox.corp-sansan.com/entry/2019/02/21/110000","width":"100%","description":"\u3053\u3093\u306b\u3061\u306f\uff0cDSOC R&D\u30b0\u30eb\u30fc\u30d7 \u30a4\u30f3\u30bf\u30fc\u30f3\u751f\u306e\u5185\u7530\u3068\u7533\u3057\u307e\u3059\uff0e\u6628\u590f\u306eR&D\u30a4\u30f3\u30bf\u30fc\u30f3\u306b\u3082\u53c2\u52a0\u3057\u3066\u304a\u308a\uff0c\u5b9f\u306fSansan\u306e\u30d6\u30ed\u30b0\u306e\u3069\u3053\u304b\u306b\u767b\u5834\u6e08\u307f\u3067\u3059\uff0e\u590f\u306e\u30a4\u30f3\u30bf\u30fc\u30f3\u3067\u306f\u30c7\u30fc\u30bf\u5206\u6790\u5468\u308a\u3092\u7d4c\u9a13\u3055\u305b\u3066\u3044\u305f\u3060\u304d\u307e\u3057\u305f\u304c\uff0c\u5927\u5b66\u3067\u306e\u5c02\u9580\u304c\u753b\u50cf\u51e6\u7406\u3068\u3044\u3046\u3053\u3068\u3082\u3042\u308a\uff0c\u6628\u5e7410\u6708\u304b\u3089\u753b\u50cf\u5206\u91ce\u306e\u30a4\u30f3\u30bf\u30fc\u30f3\u751f\u3068\u3057\u3066\u304a\u4e16\u8a71\u306b\u306a\u3063\u3066\u3044\u307e\u3059\uff0e \u73fe\u5728\uff0c\u540d\u523a\u753b\u50cf\u306e\u8d85\u89e3\u50cf\u3092\u696d\u52d9\u3068\u3057\u3066\u62c5\u5f53\u3057\u3066\u304a\u308a\u307e\u3059\u306e\u3067\uff0c\u79c1\u81ea\u8eab\u306e\u52c9\u5f37\u3082\u517c\u306d\u3066\uff0c\u8d85\u89e3\u50cf\u5206\u91ce\u306e\u3042\u308c\u3053\u308c\u3092\u6570\u56de\u306b\u5206\u3051\u3066\u89e6\u308c\u3066\u3044\u3051\u308c\u3070\u3068\u8003\u3048\u3066\u3044\u307e\u3059\uff0e\u307e\u305f\uff0c\u79c1\u306f\u666e\u6bb5\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u3057\u3066TensorFlow*1\u3092\u4f7f\u3063\u3066\u3044\u308b\u306e\u3067\u3059\u304c\uff0c\u3053\u3053\u3067\u306fPyTorch*2\u306b\u5165\u9580\u3057\u3066\u2026"}