{"description":"\u524d\u56de\u306e\u8a18\u4e8b\u3067\u3001numpy\u3092\u4f7f\u3063\u3066\u884c\u5217\u6f14\u7b97\u30673\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u3092\u5b9f\u88c5\u3057\u307e\u3057\u305f\u304c\u3001\u540c\u3058\u3053\u3068\u3092Chainer\u3092\u4f7f\u3063\u3066\u5b9f\u88c5\u3057\u3066\u307f\u307e\u3059\u3002 import numpy as np import chainer from chainer import Function, Variable, optimizers from chainer import Link, Chain import chainer.functions as F import chainer.links as L model = Chain(layer1=L.Linear(2, 2, initialW=np.array([[0.1, 0.\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftadaoyamaoka.hatenablog.com%2Fentry%2F2016%2F04%2F10%2F222003\" title=\"Chainer\u30673\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u306e\u8aa4\u5dee\u9006\u4f1d\u64ad\u3092\u5b9f\u88c5\u3057\u3066\u307f\u305f - TadaoYamaoka\u306e\u958b\u767a\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","title":"Chainer\u30673\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u306e\u8aa4\u5dee\u9006\u4f1d\u64ad\u3092\u5b9f\u88c5\u3057\u3066\u307f\u305f","provider_url":"https://hatena.blog","categories":["Chainer","DeepLearning","Python","\u6a5f\u68b0\u5b66\u7fd2"],"width":"100%","image_url":"http://cdn-ak.f.st-hatena.com/images/fotolife/T/TadaoYamaoka/20160410/20160410221633.png","published":"2016-04-10 22:20:03","url":"https://tadaoyamaoka.hatenablog.com/entry/2016/04/10/222003","provider_name":"Hatena Blog","type":"rich","blog_url":"https://tadaoyamaoka.hatenablog.com/","blog_title":"TadaoYamaoka\u306e\u958b\u767a\u65e5\u8a18","author_name":"TadaoYamaoka","author_url":"https://blog.hatena.ne.jp/TadaoYamaoka/","height":"190"}