{"image_url":"https://m.media-amazon.com/images/I/513J77QZHgL._SL500_.jpg","description":"C# \u3067\u300c\u30bc\u30ed\u304b\u3089\u4f5c\u308bDeep Learning\u300d\u306b\u6311\u6226\u4e2d\u30025 \u7ae0\u3082 5.6 \u7bc0\u307e\u3067\u6765\u305f\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 \u4eca\u56de\u3082 Affine \u30ec\u30a4\u30e4\u3068 Softmax-with-Loss \u30ec\u30a4\u30e4\u3092 C# \u3067\u5199\u7d4c\u3059\u308b\u3060\u3051\u3002 using Numpy; public class Affine { public NDarray W { get; } public NDarray b { get; } public NDarray? x { get; private set; } public \u2026","blog_url":"https://tnakamura.hatenablog.com/","categories":[".NET","C#","\u6a5f\u68b0\u5b66\u7fd2"],"provider_name":"Hatena Blog","type":"rich","title":"C# \u3067 Affine/Softmax \u30ec\u30a4\u30e4\u306e\u5b9f\u88c5","version":"1.0","width":"100%","provider_url":"https://hatena.blog","published":"2023-02-03 18:36:30","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftnakamura.hatenablog.com%2Fentry%2F2023%2F02%2F03%2Faffine-softmax-with-loss\" title=\"C# \u3067 Affine/Softmax \u30ec\u30a4\u30e4\u306e\u5b9f\u88c5 - 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","author_url":"https://blog.hatena.ne.jp/griefworker/","blog_title":"present","url":"https://tnakamura.hatenablog.com/entry/2023/02/03/affine-softmax-with-loss"}