{"id":20976,"date":"2024-03-16T15:39:32","date_gmt":"2024-03-16T06:39:32","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/how-to-achieve-multiclass-prediction-using-pytorch-pytorch%e3%81%a7%e5%a4%9a%e3%82%af%e3%83%a9%e3%82%b9%e4%ba%88%e6%b8%ac%e3%82%92%e5%ae%9f%e7%8f%be%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af\/"},"modified":"2025-08-07T04:21:09","modified_gmt":"2025-08-06T19:21:09","slug":"how-to-achieve-multiclass-prediction-using-pytorch-pytorch%e3%81%a7%e5%a4%9a%e3%82%af%e3%83%a9%e3%82%b9%e4%ba%88%e6%b8%ac%e3%82%92%e5%ae%9f%e7%8f%be%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/how-to-achieve-multiclass-prediction-using-pytorch-pytorch%e3%81%a7%e5%a4%9a%e3%82%af%e3%83%a9%e3%82%b9%e4%ba%88%e6%b8%ac%e3%82%92%e5%ae%9f%e7%8f%be%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af\/","title":{"rendered":"How to achieve multiclass prediction using PyTorch? pyTorch\u3067\u591a\u30af\u30e9\u30b9\u4e88\u6e2c\u3092\u5b9f\u73fe\u3059\u308b\u65b9\u6cd5\u306f\uff1f"},"content":{"rendered":"<p>PyTorch\u3067\u591a\u30af\u30e9\u30b9\u5206\u985e\u4e88\u6e2c\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306b\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u4ee5\u4e0b\u306f\u6700\u3082\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306e1\u3064\u3067\u3059\uff1a<\/p>\n<ol>\n<li>\u30c7\u30fc\u30bf\u306e\u6e96\u5099\uff1a<\/li>\n<li>\u5165\u529b\u30c7\u30fc\u30bf\u3068\u30e9\u30d9\u30eb\u3092PyTorch\u306etorch.Tensor\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306b\u30c7\u30fc\u30bf\u3092\u30d0\u30c3\u30c1\u3054\u3068\u306b\u30ed\u30fc\u30c9\u3059\u308b\u30c7\u30fc\u30bf\u30ed\u30fc\u30c0\u30fc\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306e\u5b9a\u7fa9\uff1a<\/li>\n<li>\u79c1\u305f\u3061\u306fPyTorch\u306enn.Module\u30af\u30e9\u30b9\u3092\u4f7f\u7528\u3057\u3066\u3001\u72ec\u81ea\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u3067\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30ec\u30a4\u30e4\u30fc\u3068\u6d3b\u6027\u5316\u95a2\u6570\u3092\u5b9a\u7fa9\u3057\u3001\u5177\u4f53\u7684\u306a\u554f\u984c\u306b\u5fdc\u3058\u3066\u9069\u5207\u306a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u69cb\u9020\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/li>\n<li>\u640d\u5931\u95a2\u6570\u3068\u6700\u9069\u5316\u6cd5\u3092\u5b9a\u7fa9\u3059\u308b\u3002<\/li>\n<li>\u9069\u5207\u306a\u640d\u5931\u95a2\u6570\u3092\u9078\u629e\u3059\u308b\u305f\u3081\u306b\u3001\u4f8b\u3048\u3070\u4ea4\u5dee\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u640d\u5931\u95a2\u6570\uff08CrossEntropyLoss\uff09\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/li>\n<li>\u9069\u5207\u306a\u30aa\u30d7\u30c6\u30a3\u30de\u30a4\u30b6\u30fc\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\u3001\u4f8b\u3048\u3070\u78ba\u7387\u7684\u52fe\u914d\u964d\u4e0b\u6cd5\uff08SGD\uff09\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306b\u5165\u529b\u30c7\u30fc\u30bf\u3092\u6e21\u3057\u3001\u4e88\u6e2c\u7d50\u679c\u3092\u5f97\u307e\u3059\u3002<\/li>\n<li>\u4e88\u6e2c\u7d50\u679c\u3068\u5b9f\u969b\u306e\u30e9\u30d9\u30eb\u3092\u6bd4\u8f03\u3057\u3066\u640d\u5931\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/li>\n<li>\u9006\u4f1d\u64ad\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3057\u3066\u52fe\u914d\u3092\u8a08\u7b97\u3057\u3001\u30e2\u30c7\u30eb\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0\u3057\u307e\u3059\u3002<\/li>\n<li>\u4e0a\u8a18\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u7e70\u308a\u8fd4\u3057\u3001\u6307\u5b9a\u3055\u308c\u305f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u56de\u6570\u304b\u640d\u5931\u95a2\u6570\u304c\u53ce\u675f\u3059\u308b\u307e\u3067\u7d9a\u3051\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u8a55\u4fa1:<\/li>\n<li>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6e08\u307f\u306e\u30e2\u30c7\u30eb\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u3001\u9069\u5408\u7387\u3001\u518d\u73fe\u7387\u306a\u3069\u306e\u6307\u6a19\u3092\u8a08\u7b97\u3059\u308b\u3002<\/li>\n<\/ol>\n<p>PyTorch\u3092\u4f7f\u7528\u3057\u3066\u591a\u30af\u30e9\u30b9\u5206\u985e\u4e88\u6e2c\u3092\u5b9f\u88c5\u3059\u308b\u624b\u9806\u3092\u793a\u3059\u7c21\u5358\u306a\u4f8b\u304c\u4ee5\u4e0b\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> torch\r\n<span class=\"hljs-keyword\">import<\/span> torch.nn <span class=\"hljs-keyword\">as<\/span> nn\r\n<span class=\"hljs-keyword\">import<\/span> torch.optim <span class=\"hljs-keyword\">as<\/span> optim\r\n\r\n<span class=\"hljs-comment\"># \u51c6\u5907\u6570\u636e<\/span>\r\ninputs = torch.tensor([[<span class=\"hljs-number\">1.0<\/span>, <span class=\"hljs-number\">2.0<\/span>, <span class=\"hljs-number\">3.0<\/span>], [<span class=\"hljs-number\">4.0<\/span>, <span class=\"hljs-number\">5.0<\/span>, <span class=\"hljs-number\">6.0<\/span>], [<span class=\"hljs-number\">7.0<\/span>, <span class=\"hljs-number\">8.0<\/span>, <span class=\"hljs-number\">9.0<\/span>]])\r\nlabels = torch.tensor([<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>])\r\n\r\n<span class=\"hljs-comment\"># \u521b\u5efa\u6570\u636e\u52a0\u8f7d\u5668<\/span>\r\ndataset = torch.utils.data.TensorDataset(inputs, labels)\r\ndataloader = torch.utils.data.DataLoader(dataset, batch_size=<span class=\"hljs-number\">1<\/span>, shuffle=<span class=\"hljs-literal\">True<\/span>)\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49\u6a21\u578b<\/span>\r\n<span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">Model<\/span>(nn.Module):\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__init__<\/span>(<span class=\"hljs-params\">self<\/span>):\r\n        <span class=\"hljs-built_in\">super<\/span>(Model, self).__init__()\r\n        self.fc = nn.Linear(<span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">3<\/span>)\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">forward<\/span>(<span class=\"hljs-params\">self, x<\/span>):\r\n        x = self.fc(x)\r\n        <span class=\"hljs-keyword\">return<\/span> x\r\n\r\nmodel = Model()\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668<\/span>\r\ncriterion = nn.CrossEntropyLoss()\r\noptimizer = optim.SGD(model.parameters(), lr=<span class=\"hljs-number\">0.01<\/span>)\r\n\r\n<span class=\"hljs-comment\"># \u8bad\u7ec3\u6a21\u578b<\/span>\r\n<span class=\"hljs-keyword\">for<\/span> epoch <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">10<\/span>):\r\n    <span class=\"hljs-keyword\">for<\/span> inputs, labels <span class=\"hljs-keyword\">in<\/span> dataloader:\r\n        optimizer.zero_grad()\r\n        outputs = model(inputs)\r\n        loss = criterion(outputs, labels)\r\n        loss.backward()\r\n        optimizer.step()\r\n\r\n<span class=\"hljs-comment\"># \u6a21\u578b\u8bc4\u4f30<\/span>\r\ncorrect = <span class=\"hljs-number\">0<\/span>\r\ntotal = <span class=\"hljs-number\">0<\/span>\r\n<span class=\"hljs-keyword\">with<\/span> torch.no_grad():\r\n    <span class=\"hljs-keyword\">for<\/span> inputs, labels <span class=\"hljs-keyword\">in<\/span> dataloader:\r\n        outputs = model(inputs)\r\n        _, predicted = torch.<span class=\"hljs-built_in\">max<\/span>(outputs.data, <span class=\"hljs-number\">1<\/span>)\r\n        total += labels.size(<span class=\"hljs-number\">0<\/span>)\r\n        correct += (predicted == labels).<span class=\"hljs-built_in\">sum<\/span>().item()\r\n\r\naccuracy = correct \/ total\r\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Accuracy: {:.2f}%\"<\/span>.<span class=\"hljs-built_in\">format<\/span>(accuracy * <span class=\"hljs-number\">100<\/span>))\r\n<\/code><\/pre>\n<p>\u3053\u308c\u306f\u591a\u30af\u30e9\u30b9\u5206\u985e\u306e\u7c21\u5358\u306a\u4e88\u6e2c\u306e\u4f8b\u3067\u3059\u3002\u5177\u4f53\u7684\u306a\u5b9f\u88c5\u65b9\u6cd5\u306f\u3001\u5177\u4f53\u7684\u306a\u554f\u984c\u3084\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u7279\u6027\u306b\u5fdc\u3058\u3066\u8abf\u6574\u3067\u304d\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PyTorch\u3067\u591a\u30af\u30e9\u30b9\u5206\u985e\u4e88\u6e2c\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306b\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u4ee5\u4e0b\u306f\u6700\u3082\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306e1\u3064\u3067\u3059\uff1a \u30c7\u30fc\u30bf\u306e\u6e96\u5099\uff1a \u5165\u529b\u30c7\u30fc\u30bf\u3068\u30e9\u30d9\u30eb\u3092PyTorch\u306etorch.Tensor\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u5909\u63db\u3057\u307e\u3059\u3002  [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[26,61],"class_list":["post-20976","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-26","tag-61"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to achieve multiclass prediction using PyTorch? pyTorch\u3067\u591a\u30af\u30e9\u30b9\u4e88\u6e2c\u3092\u5b9f\u73fe\u3059\u308b\u65b9\u6cd5\u306f\uff1f - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"How to achieve multiclass prediction using PyTorch? 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