{"blog_title":"present","height":"190","type":"rich","width":"100%","description":"C# \u3067\u30bc\u30ed\u304b\u3089 Deep Learning \u3092\u5b9f\u88c5\u3059\u308b\u6311\u6226\u306e\u7d9a\u304d\u3002 \u3053\u306e\u6311\u6226\u3067\u306f\u3001\u300e\u30bc\u30ed\u304b\u3089\u4f5c\u308b Deep Learning\u300f\u540c\u69d8\u306b\u3001 \u624b\u66f8\u304d\u6570\u5b57\u8a8d\u8b58\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5b9f\u88c5\u3059\u308b\u306e\u3067\u3001 MNIST \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5229\u7528\u3059\u308b\u3002 MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges MNIST \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8aad\u307f\u8fbc\u3093\u3067\u3001 Math.NET Numerics \u306e Vector \u306b\u5909\u63db\u3059\u308b\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u307f\u305f\u3002 using MathNet.Numerics.LinearAlgebra; using\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftnakamura.hatenablog.com%2Fentry%2F2016%2F12%2F15%2Fmnist\" title=\"MNIST \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8aad\u307f\u8fbc\u3093\u3067\u30d9\u30af\u30c8\u30eb\u306b\u5909\u63db - 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/","blog_url":"https://tnakamura.hatenablog.com/","published":"2016-12-15 16:10:38","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/g/griefworker/20161215/20161215160813.png","version":"1.0","url":"https://tnakamura.hatenablog.com/entry/2016/12/15/mnist","provider_name":"Hatena Blog","author_name":"griefworker","categories":["C#","\u6a5f\u68b0\u5b66\u7fd2"],"title":"MNIST \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8aad\u307f\u8fbc\u3093\u3067\u30d9\u30af\u30c8\u30eb\u306b\u5909\u63db","provider_url":"https://hatena.blog"}