{"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2025%2F11%2F25%2F224527\" title=\"add_gaussian_noise - 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,"blog_url":"https://htn20190109.hatenablog.com/","author_name":"HTN20190109","categories":["DL"],"type":"rich","provider_name":"Hatena Blog","published":"2025-11-25 22:45:27","title":"add_gaussian_noise","url":"https://htn20190109.hatenablog.com/entry/2025/11/25/224527","description":"import torchfrom torchvision import datasetsfrom torchvision.transforms import v2from torch.utils.data import DataLoaderimport matplotlib.pyplot as plt # --- \u30ce\u30a4\u30ba\u95a2\u6570 ---def add_gaussian_noise(img, mean=0.0, std=0.1): print(img.shape) noise = torch.randn_like(img) * std + mean img_noisy = img + noise r\u2026","width":"100%","height":"190","provider_url":"https://hatena.blog","version":"1.0","author_url":"https://blog.hatena.ne.jp/HTN20190109/","blog_title":"HTN20190109\u306e\u65e5\u8a18"}