{"type":"rich","provider_name":"Hatena Blog","published":"2026-11-10 22:14:30","blog_url":"https://htn20190109.hatenablog.com/","categories":["DL"],"image_url":null,"blog_title":"HTN20190109\u306e\u65e5\u8a18","height":"190","version":"1.0","width":"100%","title":"BYOL\u306e\u5b9f\u88c5","author_url":"https://blog.hatena.ne.jp/HTN20190109/","url":"https://htn20190109.hatenablog.com/entry/2026/11/10/221430","provider_url":"https://hatena.blog","author_name":"HTN20190109","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F11%2F10%2F221430\" title=\"BYOL\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>","description":"import copyimport random import matplotlib.pyplot as pltimport numpy as npimport torchimport torch.nn as nnimport torch.nn.functional as Ffrom sklearn.manifold import TSNEfrom torch.utils.data import DataLoaderfrom torchvision import datasetsfrom torchvision import transforms # =====================\u2026"}