{"type":"rich","url":"https://tnakamura.hatenablog.com/entry/2017/02/10/numeric-gradient","description":"C# \u3067\u30bc\u30ed\u304b\u3089 Deep Learning \u3092\u5b9f\u88c5\u3059\u308b\u6311\u6226\u3092\u5c11\u3057\u305a\u3064\u9032\u3081\u3066\u3044\u308b\u3002 \u307e\u3060\u7b2c 4 \u7ae0\u3060\u3051\u3069\u3002 \u4eca\u56de\u306f\u52fe\u914d\u3092\u5b9f\u88c5\u3057\u3066\u307f\u305f\u3002 using MathNet.Numerics.LinearAlgebra; using System; using System.Linq; namespace NumericGradientSample { class Program { static void Main(string[] args) { Func<Vector<double>, double> function2 = x => x[0] * x[0] + x[1] * x[1]; Cons\u2026","published":"2017-02-10 11:14:41","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftnakamura.hatenablog.com%2Fentry%2F2017%2F02%2F10%2Fnumeric-gradient\" title=\"\u52fe\u914d\u3092\u5b9f\u88c5\u3057\u3066\u307f\u305f - present\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"\u52fe\u914d\u3092\u5b9f\u88c5\u3057\u3066\u307f\u305f","author_name":"griefworker","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","height":"190","width":"100%","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/g/griefworker/20170210/20170210111319.png","blog_url":"https://tnakamura.hatenablog.com/","categories":["C#","\u6a5f\u68b0\u5b66\u7fd2"],"version":"1.0","blog_title":"present","author_url":"https://blog.hatena.ne.jp/griefworker/"}