{"author_url":"https://blog.hatena.ne.jp/HTN20190109/","provider_url":"https://hatena.blog","image_url":null,"blog_url":"https://htn20190109.hatenablog.com/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F10%2F03%2F114541\" title=\"CGAN\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>","published":"2026-10-03 11:45:41","categories":["DL"],"author_name":"HTN20190109","height":"190","type":"rich","width":"100%","blog_title":"HTN20190109\u306e\u65e5\u8a18","provider_name":"Hatena Blog","description":"https://qiita.com/gensal/items/527e350ca7cc4c9851e9 import torchimport torch.nn as nnimport torch.optim as optimfrom torch.utils.data import DataLoaderfrom torchvision.datasets import MNISTfrom torchvision import transformsimport matplotlib.pyplot as pltimport numpy as np # =========================\u2026","version":"1.0","title":"CGAN\u306e\u5b9f\u88c5","url":"https://htn20190109.hatenablog.com/entry/2026/10/03/114541"}