{"description":"https://www.nogawanogawa.com/entry/stackgan_impl import osimport random import torchimport torch.nn as nnimport torch.optim as optim import torchvision from torchvision import transformsfrom torch.utils.data import DataLoader import matplotlib.pyplot as plt DEVICE = torch.device(\"cuda\" if torch.cuda\u2026","version":"1.0","blog_url":"https://htn20190109.hatenablog.com/","author_name":"HTN20190109","author_url":"https://blog.hatena.ne.jp/HTN20190109/","provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F10%2F11%2F153938\" title=\"StackGAN\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>","height":"190","width":"100%","image_url":null,"url":"https://htn20190109.hatenablog.com/entry/2026/10/11/153938","title":"StackGAN\u306e\u5b9f\u88c5","published":"2026-10-11 15:39:38","provider_name":"Hatena Blog","categories":["DL"],"type":"rich","blog_title":"HTN20190109\u306e\u65e5\u8a18"}