{"width":"100%","author_url":"https://blog.hatena.ne.jp/HTN20190109/","published":"2026-10-06 19:59:54","provider_name":"Hatena Blog","url":"https://htn20190109.hatenablog.com/entry/2026/10/06/195954","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F10%2F06%2F195954\" title=\"WGAN\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>","image_url":null,"version":"1.0","height":"190","blog_url":"https://htn20190109.hatenablog.com/","type":"rich","title":"WGAN\u306e\u5b9f\u88c5","description":"https://taviko.com/tavilab/gan/wgan/ import torchimport torch.nn as nnimport torch.optim as optimfrom torch.utils.data import DataLoaderfrom torchvision import datasets, transformsfrom torchvision.utils import save_imageimport matplotlib.pyplot as pltimport os # \u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bfLATENT_DIM = 100IMG_SIZE = 2\u2026","author_name":"HTN20190109","provider_url":"https://hatena.blog","categories":["DL"],"blog_title":"HTN20190109\u306e\u65e5\u8a18"}