{"categories":["DL"],"description":"import torchimport torch.nn as nnimport torch.optim as optimimport torchvisionfrom torchvision import datasets, models, transforms # --- \u30c7\u30fc\u30bf\u524d\u51e6\u7406 ---transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]) # --- CIFAR-10 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 ---trainset = data\u2026","height":"190","blog_url":"https://htn20190109.hatenablog.com/","type":"rich","author_name":"HTN20190109","provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F01%2F10%2F124511\" title=\"VGG16 + CIFAR-10 Fine-Tuning - 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":"2026-01-10 12:45:11","blog_title":"HTN20190109\u306e\u65e5\u8a18","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/HTN20190109/","image_url":null,"version":"1.0","url":"https://htn20190109.hatenablog.com/entry/2026/01/10/124511","title":"VGG16 + CIFAR-10 Fine-Tuning","width":"100%"}