{"id":5324,"date":"2024-03-14T02:42:02","date_gmt":"2024-03-14T02:42:02","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/how-to-implement-semi-supervised-learning-in-pytorch\/"},"modified":"2025-08-01T13:34:56","modified_gmt":"2025-08-01T13:34:56","slug":"how-to-implement-semi-supervised-learning-in-pytorch","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/how-to-implement-semi-supervised-learning-in-pytorch\/","title":{"rendered":"PyTorch Semi-Supervised Learning Guide"},"content":{"rendered":"<p>In PyTorch, implementing semi-supervised learning can utilize existing methods such as self-training, pseudo-labeling, and generative adversarial networks (GAN).<\/p>\n<p>Here is an example of self-training implemented in PyTorch.<\/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<span class=\"hljs-keyword\">from<\/span> torch.utils.data <span class=\"hljs-keyword\">import<\/span> DataLoader\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\">10<\/span>, <span class=\"hljs-number\">2<\/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        <span class=\"hljs-keyword\">return<\/span> self.fc(x)\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49\u6570\u636e\u96c6<\/span>\r\n<span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">MyDataset<\/span>(torch.utils.data.Dataset):\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__init__<\/span>(<span class=\"hljs-params\">self, data, labels<\/span>):\r\n        self.data = data\r\n        self.labels = labels\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__len__<\/span>(<span class=\"hljs-params\">self<\/span>):\r\n        <span class=\"hljs-keyword\">return<\/span> <span class=\"hljs-built_in\">len<\/span>(self.data)\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__getitem__<\/span>(<span class=\"hljs-params\">self, idx<\/span>):\r\n        <span class=\"hljs-keyword\">return<\/span> self.data[idx], self.labels[idx]\r\n\r\n<span class=\"hljs-comment\"># \u52a0\u8f7d\u6570\u636e<\/span>\r\ndata = torch.randn(<span class=\"hljs-number\">100<\/span>, <span class=\"hljs-number\">10<\/span>)\r\nlabels = torch.randint(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">2<\/span>, (<span class=\"hljs-number\">100<\/span>,))\r\ndataset = MyDataset(data, labels)\r\ndataloader = DataLoader(dataset, batch_size=<span class=\"hljs-number\">10<\/span>, shuffle=<span class=\"hljs-literal\">True<\/span>)\r\n\r\n<span class=\"hljs-comment\"># \u521d\u59cb\u5316\u6a21\u578b\u548c\u4f18\u5316\u5668<\/span>\r\nmodel = Model()\r\noptimizer = optim.Adam(model.parameters(), lr=<span class=\"hljs-number\">0.001<\/span>)\r\n\r\n<span class=\"hljs-comment\"># \u81ea\u8bad\u7ec3<\/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        outputs = model(inputs)\r\n        loss = nn.CrossEntropyLoss()(outputs, labels)\r\n\r\n        optimizer.zero_grad()\r\n        loss.backward()\r\n        optimizer.step()\r\n\r\n<span class=\"hljs-comment\"># \u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u672a\u6807\u8bb0\u6570\u636e\u8fdb\u884c\u9884\u6d4b<\/span>\r\nunlabeled_data = torch.randn(<span class=\"hljs-number\">50<\/span>, <span class=\"hljs-number\">10<\/span>)\r\npredicted_labels = torch.argmax(model(unlabeled_data), dim=<span class=\"hljs-number\">1<\/span>)\r\n<\/code><\/pre>\n<p>In the examples above, we defined a simple model and dataset, then trained it with labeled data using self-training methods, and finally made predictions on unlabeled data using the trained model. This is just a basic example; in practice, one can choose more suitable semi-supervised learning methods based on specific problems and datasets.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In PyTorch, implementing semi-supervised learning can utilize existing methods such as self-training, pseudo-labeling, and generative adversarial networks (GAN). Here is an example of self-training implemented in PyTorch. import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader # \u5b9a\u4e49\u6a21\u578b class Model(nn.Module): def __init__(self): super(Model, self).__init__() self.fc = nn.Linear(10, 2) def forward(self, [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[960,75,1239,5779,5778],"class_list":["post-5324","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-deep-learning","tag-machine-learning","tag-pytorch","tag-self-training","tag-semi-supervised-learning"],"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>PyTorch Semi-Supervised Learning Guide - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Learn how to implement semi-supervised learning in PyTorch with self-training, pseudo-labeling, and GANs. 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