{"image_url":null,"blog_url":"https://upura.hatenablog.com/","blog_title":"u++\u306e\u5099\u5fd8\u9332","height":"190","type":"rich","provider_name":"Hatena Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fupura.hatenablog.com%2Fentry%2F2023%2F11%2F05%2F211512\" title=\"\u8a00\u8a9e\u51e6\u7406100\u672c\u30ce\u30c3\u30af 2020\u300c78. GPU\u4e0a\u3067\u306e\u5b66\u7fd2\u300d - u++\u306e\u5099\u5fd8\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2023-11-05 21:15:12","version":"1.0","description":"\u554f\u984c\u6587 nlp100.github.io \u554f\u984c\u306e\u6982\u8981 .to('cuda:0') \u3067 GPU \u306b\u8ee2\u9001\u3057\u307e\u3059\u3002 import joblib import matplotlib.pyplot as plt import numpy as np import torch from torch import nn, optim from torch.utils.data import DataLoader, TensorDataset from tqdm import tqdm X_train = joblib.load('ch08/X_train.joblib') y_train = joblib.\u2026","title":"\u8a00\u8a9e\u51e6\u7406100\u672c\u30ce\u30c3\u30af 2020\u300c78. GPU\u4e0a\u3067\u306e\u5b66\u7fd2\u300d","author_url":"https://blog.hatena.ne.jp/upura/","author_name":"upura","width":"100%","categories":["python","\u81ea\u7136\u8a00\u8a9e\u51e6\u7406"],"url":"https://upura.hatenablog.com/entry/2023/11/05/211512","provider_url":"https://hatena.blog"}