{"height":"190","version":"1.0","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/d/derwind/20211127/20211127171203.png","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","type":"rich","title":"Transformer \u306e\u4f4d\u7f6e\u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2021%2F11%2F27%2F171644\" title=\"Transformer \u306e\u4f4d\u7f6e\u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0 - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["machine_learning"],"blog_url":"https://randommemory.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/derwind/","description":"import matplotlib.pyplot as plt import numpy as np fig = plt.figure() ax = fig.add_subplot(projection='3d') ax.set_xlabel('i', size=15, color='black') ax.set_ylabel('pos', size=15, color='black') ax.set_zlabel('PE', size=15, color='black') x, y = np.meshgrid(np.linspace(0,40,100),np.linspace(0,40,10\u2026","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","url":"https://randommemory.hatenablog.com/entry/2021/11/27/171644","published":"2021-11-27 17:16:44","author_name":"derwind","width":"100%"}