{"blog_title":"present","blog_url":"https://tnakamura.hatenablog.com/","width":"100%","height":"190","title":"NumSharp \u3067\u52fe\u914d","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftnakamura.hatenablog.com%2Fentry%2F2022%2F07%2F25%2Fnumerical-gradient\" title=\"NumSharp \u3067\u52fe\u914d - present\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/griefworker/","published":"2022-07-25 12:30:00","description":"\u300c\u30bc\u30ed\u304b\u3089\u4f5c\u308b Deep Learning\u300d\u3092\u8aad\u3093\u3067\u3001Python \u3067\u306f\u306a\u304f C# \u3067\u30bc\u30ed\u304b\u3089\u4f5c\u3063\u3066\u307f\u308b\u8a66\u307f\u306e\u7d9a\u304d\u3002\u3061\u3087\u3063\u3068\u9593\u304c\u7a7a\u3044\u3066\u3057\u307e\u3063\u305f\u306a\u3002 \u30bc\u30ed\u304b\u3089\u4f5c\u308bDeep Learning \u2015Python\u3067\u5b66\u3076\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u7406\u8ad6\u3068\u5b9f\u88c5\u4f5c\u8005:\u658e\u85e4 \u5eb7\u6bc5\u30aa\u30e9\u30a4\u30ea\u30fc\u30b8\u30e3\u30d1\u30f3Amazon 4\u7ae0\u306e\u52fe\u914d\u3092 NumSharp \u3067\u5b9f\u88c5\u3057\u3066\u307f\u305f\u3002 using NumSharp; Console.WriteLine(\"(x0, x1) = (3.0, 4.0) \u306e\u3068\u304d\"); Console.WriteLine( numerical_gradient( function_2, np.array(3.0, 4.0\u2026","url":"https://tnakamura.hatenablog.com/entry/2022/07/25/numerical-gradient","provider_name":"Hatena Blog","author_name":"griefworker","categories":["C#","\u6a5f\u68b0\u5b66\u7fd2",".NET"],"image_url":"https://m.media-amazon.com/images/I/513J77QZHgL._SL500_.jpg","provider_url":"https://hatena.blog","type":"rich","version":"1.0"}