{"height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftnakamura.hatenablog.com%2Fentry%2F2023%2F01%2F23%2Fsigmoid-layer\" title=\"Numpy.NET \u3067 Sigmoid \u30ec\u30a4\u30e4\u30fc - present\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":"https://m.media-amazon.com/images/I/513J77QZHgL._SL500_.jpg","provider_name":"Hatena Blog","published":"2023-01-23 18:29:04","width":"100%","author_name":"griefworker","url":"https://tnakamura.hatenablog.com/entry/2023/01/23/sigmoid-layer","categories":[".NET","C#","\u6a5f\u68b0\u5b66\u7fd2"],"type":"rich","version":"1.0","provider_url":"https://hatena.blog","description":"C# \u3067\u300c\u30bc\u30ed\u304b\u3089\u4f5c\u308bDeep Learning\u300d\u306b\u6311\u6226\u4e2d\u3002\u73fe\u5728\u5730\u70b9\u306f 5.5.2\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\u306f Sigmoid \u30ec\u30a4\u30e4\u30fc\u3092\u5199\u7d4c\u3059\u308b\u3060\u3051\u3002 using Numpy; public class Sigmoid { private NDarray? _out; public NDarray forward(NDarray x) { var @out = 1 / (1 + np.exp(-x)); _out = @out; return @out; } public \u2026","blog_title":"present","author_url":"https://blog.hatena.ne.jp/griefworker/","blog_url":"https://tnakamura.hatenablog.com/","title":"Numpy.NET \u3067 Sigmoid \u30ec\u30a4\u30e4\u30fc"}