{"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F10%2F10%2F165459\" title=\"InfoGAN\u306e\u5b9f\u88c5 - HTN20190109\u306e\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>","author_url":"https://blog.hatena.ne.jp/HTN20190109/","provider_url":"https://hatena.blog","url":"https://htn20190109.hatenablog.com/entry/2026/10/10/165459","blog_title":"HTN20190109\u306e\u65e5\u8a18","height":"190","image_url":null,"type":"rich","description":"https://peluigi.hatenablog.com/entry/2018/08/29/120314 from pathlib import Path import matplotlib.pyplot as pltimport torchimport torch.nn as nnimport torch.nn.functional as Fimport torch.optim as optimfrom torchvision import datasets, transforms, utils DEVICE = torch.device(\"cuda\" if torch.cuda.is_\u2026","author_name":"HTN20190109","title":"InfoGAN\u306e\u5b9f\u88c5","categories":["DL"],"version":"1.0","published":"2026-10-10 16:54:59","width":"100%","provider_name":"Hatena Blog","blog_url":"https://htn20190109.hatenablog.com/"}