{"categories":["DL"],"author_name":"HTN20190109","published":"2025-11-27 20:52:39","title":"RandAugment","blog_title":"HTN20190109\u306e\u65e5\u8a18","provider_url":"https://hatena.blog","version":"1.0","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/HTN20190109/","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2025%2F11%2F27%2F205239\" title=\"RandAugment - 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>","blog_url":"https://htn20190109.hatenablog.com/","description":"import torchimport numpy as npfrom torchvision import datasetsfrom torchvision.transforms import v2import torchvision.transforms.functional as Ffrom torch.utils.data import DataLoaderimport matplotlib.pyplot as plt # --- RandAugment \u5b9f\u88c5 ---class RandAugment: def __init__(self, n=2, m=10): \"\"\" n: 1\u56de\u306b\u9069\u2026","url":"https://htn20190109.hatenablog.com/entry/2025/11/27/205239","image_url":null,"height":"190","type":"rich"}