{"height":"190","author_url":"https://blog.hatena.ne.jp/griefworker/","version":"1.0","image_url":"https://m.media-amazon.com/images/I/513J77QZHgL._SL500_.jpg","provider_name":"Hatena Blog","categories":[".NET","C#","\u6a5f\u68b0\u5b66\u7fd2"],"url":"https://tnakamura.hatenablog.com/entry/2022/07/27/gradient-descent","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftnakamura.hatenablog.com%2Fentry%2F2022%2F07%2F27%2Fgradient-descent\" title=\"NumSharp \u3067\u52fe\u914d\u4e0b\u964d\u6cd5 - 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_name":"griefworker","blog_title":"present","description":"\u300c\u30bc\u30ed\u304b\u3089\u4f5c\u308b Deep Learning\u300d\u3092 C# \u3067\u7c9b\u3005\u3068\u5199\u7d4c\u4e2d\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 NumSharp \u3092\u4f7f\u3063\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u3067\u4f7f\u3046\u52fe\u914d\u4e0b\u964d\u6cd5\u3092\u5b9f\u88c5\u3057\u3066\u307f\u305f\u3002 using NumSharp; var init_x = np.array(-3.0, 4.0); var y = gradient_descent( function_2, init_x: init_x, lr: 0.1, step_num: 100); Console.WriteLine(y.ToString())\u2026","blog_url":"https://tnakamura.hatenablog.com/","width":"100%","published":"2022-07-27 12:30:00","provider_url":"https://hatena.blog","title":"NumSharp \u3067\u52fe\u914d\u4e0b\u964d\u6cd5","type":"rich"}