{"id":8105,"date":"2024-07-29T01:21:42","date_gmt":"2024-07-28T17:21:42","guid":{"rendered":"https:\/\/17aitech.com\/?p=8105"},"modified":"2024-10-08T15:14:25","modified_gmt":"2024-10-08T07:14:25","slug":"%e3%80%90%e8%af%be%e7%a8%8b%e6%80%bb%e7%bb%93%e3%80%91day16%ef%bc%9a%e5%af%b9%e6%8a%97%e7%94%9f%e6%88%90%e7%bd%91%e7%bb%9cgan","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=8105","title":{"rendered":"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day16\uff1a\u5bf9\u6297\u751f\u6210\u7f51\u7edcGAN"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span 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href=\"https:\/\/17aitech.com\/?p=7647\">\u5b9e\u4f8b\u5206\u5272<\/a>\u3001<a href=\"https:\/\/17aitech.com\/?p=7883\">\u65cb\u8f6c\u76ee\u6807\u68c0\u6d4b<\/a>\u7b49\u3002\u8fd9\u4e9b\u56fe\u50cf\u5206\u5272\u7b97\u6cd5\u90fd\u662f<strong>\u6709\u76d1\u7763\u5b66\u4e60<\/strong>\uff0c\u800cGAN\uff08\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff09\u662f\u4e00\u79cd\u7279\u522b\u7684\u5b66\u4e60\u7b56\u7565\uff0c\u5176\u6838\u5fc3\u601d\u60f3\u975e\u5e38\u503c\u5f97\u501f\u9274\uff0c\u6240\u4ee5\u672c\u7ae0\u5c06\u4ee5GAN\u7f51\u7edc\u7684\u4ee3\u7801\u4e3a\u5207\u5165\u53e3\uff0c\u4e86\u89e3\u638c\u63e1\u5176\u6838\u5fc3\u601d\u60f3\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E5%AD%A6%E4%B9%A0%E7%AD%96%E7%95%A5\"><\/span>\u5b66\u4e60\u7b56\u7565<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u4eba\u5de5\u667a\u80fd\u65b9\u9762\u7684\u5b66\u4e60\u7b56\u7565\u6709\u4e24\u79cd\uff1a\u6709\u76d1\u7763\u5b66\u4e60\u548c\u65e0\u76d1\u7763\u5b66\u4e60\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E6%9C%89%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0\"><\/span>\u6709\u76d1\u7763\u5b66\u4e60<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u5b9a\u4e49\uff1a\u6709\u76d1\u7763\u5b66\u4e60\u662f\u4f7f\u7528\u5e26\u6807\u7b7e\u7684\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3\u3002\u6bcf\u4e2a\u8f93\u5165\u6570\u636e\u90fd\u6709\u5bf9\u5e94\u7684\u8f93\u51fa\u6807\u7b7e\uff0c\u6a21\u578b\u901a\u8fc7\u5b66\u4e60\u8f93\u5165\u4e0e\u8f93\u51fa\u4e4b\u95f4\u7684\u5173\u7cfb\u6765\u8fdb\u884c\u9884\u6d4b\u3002<\/p>\n<blockquote>\n<p>\u4e3e\u4e2a\u4f8b\u5b50\uff1a\u5b69\u5b50\u7684\u4e2a\u4eba\u6210\u957f\uff0c\u6709\u7ecf\u9a8c\u7684\u5bb6\u957f\u4e3a\u671f\u89c4\u5212\u4e86\u53d1\u5c55\u7684\u8def\u7ebf\uff0c\u5b69\u5b50\u5728\u89c4\u5212\u4e0b\u6709\u8ba1\u5212\u5730\u5b66\u4e60\u6210\u957f\uff0c\u8fd9\u5c5e\u4e8e\u6709\u76d1\u7763\u5b66\u4e60\u3002<\/p>\n<\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"%E6%97%A0%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0\"><\/span>\u65e0\u76d1\u7763\u5b66\u4e60<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u5b9a\u4e49\uff1a\u65e0\u76d1\u7763\u5b66\u4e60\u4f7f\u7528\u6ca1\u6709\u6807\u7b7e\u7684\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3\u3002\u6a21\u578b\u8bd5\u56fe\u53d1\u73b0\u6570\u636e\u4e2d\u7684\u6a21\u5f0f\u6216\u7ed3\u6784\uff0c\u800c\u4e0d\u4f9d\u8d56\u4e8e\u4efb\u4f55\u9884\u5148\u5b9a\u4e49\u7684\u6807\u7b7e\u3002<\/p>\n<blockquote>\n<p>\u540c\u6837\u7684\u4f8b\u5b50\uff1a\u5b69\u5b50\u5728\u65e0\u76d1\u7763\u5b66\u4e60\u4e0b\uff0c\u662f\u6ca1\u6709\u5bb6\u957f\u4e3a\u671f\u8fdb\u884c\u89c4\u5212\uff0c\u800c\u662f\u7ecf\u5386\u793e\u4f1a&quot;\u6376\u6253&quot;(\u505a\u5f97\u597d\u4e86\u6709\u52a0\u5206\u3001\u505a\u4e0d\u597d\u6263\u5206)\uff0c\u6700\u7ec8\u5b66\u4e60\u6210\u957f\u8d77\u6765\u3002<\/p>\n<\/blockquote>\n<h2><span class=\"ez-toc-section\" id=\"GAN%E7%9A%84%E5%9F%BA%E7%A1%80%E4%BB%8B%E7%BB%8D\"><\/span>GAN\u7684\u57fa\u7840\u4ecb\u7ecd<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u5728\u4e0a\u8ff0\u7684\u4e24\u79cd\u5b66\u4e60\u7b56\u7565\u4e2d\uff0c\u6709\u4e00\u79cd\u7279\u6b8a\u7684\u3001\u72ec\u7acb\u7684\u5b66\u4e60\u7b56\u7565\uff1aGAN\uff08\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff09\u3002<\/p>\n<p>\u5b83\u7531\u4e24\u4e2a\u7f51\u7edc\uff08\u751f\u6210\u5668\u548c\u5224\u522b\u5668\uff09\uff0c\u901a\u8fc7\u5bf9\u6297\u5728\u7ade\u4e89\u4e2d\u5171\u540c\u53d1\u5c55\u3002<\/p>\n<ul>\n<li>G\uff1a\u751f\u6210\u5668\uff08\u9020\u5047\uff09<\/li>\n<li>D\uff1a\u9274\u522b\u5668\uff08\u6253\u5047\uff09<\/li>\n<li>\u8bad\u7ec3\u8fc7\u7a0b\uff1a\n<ul>\n<li>\u4e24\u4e2a\u7f51\u7edc\u521a\u5f00\u59cb\u90fd\u6ca1\u6709\u4efb\u4f55\u80fd\u529b<\/li>\n<li>\u5728\u7ade\u4e89\u4e2d\u5171\u540c\u53d1\u5c55<\/li>\n<li>\u6700\u540e\u4e24\u4e2a\u7f51\u7edc\u80fd\u529b\u90fd\u5f97\u5230\u63d0\u5347<br \/>\n<blockquote>\n<p>\u4e3e\u4e2a\u4f8b\u5b50\uff1aGAN\u7f51\u7edc\u5c31\u50cf\u8b66\u5bdf\u548c\u5c0f\u5077\uff0c\u8b66\u5bdf\u548c\u5c0f\u5077\u4e4b\u95f4\u4e92\u76f8\u5bf9\u6297\u3002<\/p>\n<\/blockquote>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"GAN%E7%A4%BA%E4%BE%8B\"><\/span>GAN\u793a\u4f8b<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u4e3a\u4e86\u5bf9GAN\u7f51\u7edc\u6709\u4e2a\u76f4\u89c2\u5370\u8c61\uff0c\u6211\u4eec\u53ef\u4ee5\u53c2\u8003Github\u4e0a\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u5bf9GAN\u6709\u4e2a\u521d\u6b65\u8ba4\u77e5\u3002<\/p>\n<p>\u9875\u9762\u5730\u5740\uff1a<a href=\"https:\/\/poloclub.github.io\/ganlab\/\">https:\/\/poloclub.github.io\/ganlab\/<\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E7%A4%BA%E4%BE%8B%E7%9B%AE%E7%9A%84\"><\/span>\u793a\u4f8b\u76ee\u7684<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\u5728\u9875\u9762\u4e2d\u6dfb\u52a0\u4e00\u4e2a\u624b\u5199\u6570\u5b57\u56fe\u50cf<\/li>\n<li>\u901a\u8fc7\u8bad\u7ec3\u6a21\u578b\u6765\u6a21\u62df\u624b\u5199\u6570\u5b57\u56fe\u50cf<\/li>\n<li>\u4ece\u800c\u8fbe\u5230\u65b0\u56fe\u50cf\u4e0e\u539f\u6765\u7684\u98ce\u683c\u7c7b\u4f3c\uff0c\u5206\u4e0d\u51fa\u771f\u5047<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/ganlab\u793a\u4f8b\u622a\u56fe.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/ganlab\u793a\u4f8b\u622a\u56fe.png\" alt=\"\" \/><\/a><\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E6%A0%B8%E5%BF%83%E6%80%9D%E6%83%B3\"><\/span>\u6838\u5fc3\u601d\u60f3<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/GAN\u7f51\u7edc\u793a\u610f\u56fe.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/GAN\u7f51\u7edc\u793a\u610f\u56fe.png\" alt=\"\" \/><\/a><br \/>\n\u8bba\u6587\u5730\u5740\uff1a<a href=\"https:\/\/arxiv.org\/pdf\/1406.2661\">https:\/\/arxiv.org\/pdf\/1406.2661<\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E7%94%9F%E6%88%90%E5%99%A8%EF%BC%88Generator%EF%BC%89%EF%BC%9A\"><\/span>\u751f\u6210\u5668\uff08Generator\uff09\uff1a<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<ul>\n<li><strong>\u4f5c\u7528<\/strong>\uff1a\u8d1f\u8d23\u51ed\u7a7a\u7f16\u9020\u5047\u7684\u6570\u636e\u51fa\u6765\u3002<\/li>\n<li><strong>\u76ee\u7684<\/strong>\uff1a\u901a\u8fc7\u673a\u5668\u751f\u6210\u5047\u7684\u6570\u636e\uff08\u5927\u90e8\u5206\u60c5\u51b5\u4e0b\u662f\u56fe\u50cf\uff09\uff0c\u6700\u7ec8\u76ee\u7684\u662f\u201c\u9a97\u8fc7\u201d\u5224\u522b\u5668\u3002<\/li>\n<li><strong>\u8fc7\u7a0b<\/strong>\uff1aG\u662f\u4e00\u4e2a\u751f\u6210\u56fe\u7247\u7684\u7f51\u7edc\uff0c\u5b83\u63a5\u6536\u4e00\u4e2a\u968f\u673a\u7684\u566a\u58f0z\uff0c\u901a\u8fc7\u8fd9\u4e2a\u566a\u58f0\u751f\u6210\u56fe\u7247\uff0c\u8bb0\u505aG(z)\u3002<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"%E5%88%A4%E5%88%AB%E5%99%A8%EF%BC%88Discriminator%EF%BC%89%EF%BC%9A\"><\/span>\u5224\u522b\u5668\uff08Discriminator\uff09\uff1a<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<ul>\n<li><strong>\u4f5c\u7528<\/strong>\uff1a\u8d1f\u8d23\u5224\u65ad\u4f20\u6765\u7684\u6570\u636e\u662f\u771f\u8fd8\u662f\u5047\u3002<\/li>\n<li><strong>\u76ee\u7684<\/strong>\uff1a\u5224\u65ad\u8fd9\u5f20\u56fe\u50cf\u662f\u771f\u5b9e\u7684\u8fd8\u662f\u673a\u5668\u751f\u6210\u7684\uff0c\u76ee\u7684\u662f\u627e\u51fa\u751f\u6210\u5668\u505a\u7684\u201c\u5047\u6570\u636e\u201d\u3002<\/li>\n<li><strong>\u8fc7\u7a0b<\/strong>\uff1aD\u662f\u4e00\u4e2a\u5224\u522b\u7f51\u7edc\uff0c\u5224\u522b\u4e00\u5f20\u56fe\u7247\u662f\u4e0d\u662f\u201c\u771f\u5b9e\u7684\u201d\u3002\u5b83\u7684\u8f93\u5165\u53c2\u6570\u662fx\uff0cx\u4ee3\u8868\u4e00\u5f20\u56fe\u7247\uff0c\u8f93\u51faD\uff08x\uff09\u4ee3\u8868x\u4e3a\u771f\u5b9e\u56fe\u7247\u7684\u6982\u7387\uff0c\u5982\u679c\u4e3a1\uff0c\u5c31\u4ee3\u8868100%\u662f\u771f\u5b9e\u7684\u56fe\u7247\uff0c\u800c\u8f93\u51fa\u4e3a0\uff0c\u5c31\u4ee3\u8868\u4e0d\u53ef\u80fd\u662f\u771f\u5b9e\u7684\u56fe\u7247\u3002<\/li>\n<\/ul>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u901a\u8fc7\u8be6\u7ec6\u4e86\u89e3GAN\u7f51\u7edc\u7684\u4ee3\u7801\uff0c\u6df1\u5165\u4e86\u89e3\u5176\u8fd0\u884c\u8fc7\u7a0b\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E5%BC%95%E5%85%A5%E4%BE%9D%E8%B5%96\"><\/span>\u5f15\u5165\u4f9d\u8d56<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"language-python\">import torch\nfrom torch import nn\nfrom torch.nn import functional as F\n\nimport torchvision\nfrom torchvision import transforms\nfrom torchvision import datasets\nfrom torchvision.utils import save_image\nfrom torch.utils.data import DataLoader\n\nimport os\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# \u5224\u65ad\u5f53\u524d\u8bbe\u5907\u662f\u5426GPU\ndevice = torch.device(&#039;cuda&#039; if torch.cuda.is_available() else &#039;cpu&#039;)\ndevice<\/code><\/pre>\n<h3><span class=\"ez-toc-section\" id=\"%E8%AF%BB%E5%8F%96%E6%95%B0%E6%8D%AE%E9%9B%86\"><\/span>\u8bfb\u53d6\u6570\u636e\u96c6<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"language-python\"># \u52a0\u8f7d\u5e76\u9884\u5904\u7406\u56fe\u50cf\ndata = datasets.MNIST(root=&quot;data&quot;, \n                      train=True, \n                      transform = transforms.Compose(transforms=[transforms.ToTensor(),\n                      transforms.Normalize(mean=[0.5], std=[0.5])]),\n                      download=True)\n\n# \u5c01\u88c5\u6210 DataLoader\ndata_loader = DataLoader(dataset=data, batch_size=100, shuffle=True)\n<\/code><\/pre>\n<blockquote>\n<ul>\n<li>\u5907\u6ce8\uff1a\u4e0a\u8ff0 <code>transform = transforms.Compose<\/code> \u7684\u4f5c\u7528\u4e3b\u8981\u662f\u8fdb\u884c\u6570\u636e\u589e\u5f3a\uff0c\u8be6\u7ec6\u5185\u5bb9\u5728\u8865\u5145\u77e5\u8bc6\u90e8\u5206\u5c55\u5f00\u4ecb\u7ecd\u3002<\/li>\n<\/ul>\n<\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E6%A8%A1%E5%9E%8B\"><\/span>\u5b9a\u4e49\u6a21\u578b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E7%94%9F%E6%88%90%E5%99%A8\"><\/span>\u5b9a\u4e49\u751f\u6210\u5668<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u5b9a\u4e49\u751f\u6210\u5668\n&quot;&quot;&quot;\n\nclass Generator(nn.Module):\n    &quot;&quot;&quot;\n        \u5b9a\u4e49\u4e00\u4e2a\u56fe\u50cf\u751f\u6210\n        \u8f93\u5165\uff1a\u4e00\u4e2a\u5411\u91cf\n        \u8f93\u51fa\uff1a\u4e00\u4e2a\u5411\u91cf\uff08\u4ee3\u8868\u56fe\u50cf\uff09\n    &quot;&quot;&quot;\n    def __init__(self, in_features=100, out_features=28 * 28):\n        &quot;&quot;&quot;\n            \u6302\u8f7d\u8d85\u53c2\u6570\n        &quot;&quot;&quot;\n        # \u5148\u521d\u59cb\u5316\u7236\u7c7b\uff0c\u518d\u521d\u59cb\u5316\u5b50\u7c7b\n        super(Generator, self).__init__()\n        self.in_features = in_features\n        self.out_features = out_features\n\n        # \u7b2c\u4e00\u4e2a\u9690\u85cf\u5c42\n        self.hidden0 = nn.Linear(in_features=self.in_features, out_features=256)\n\n        # \u7b2c\u4e8c\u4e2a\u9690\u85cf\u5c42\n        self.hidden1 = nn.Linear(in_features=256, out_features=512)\n\n        # \u7b2c\u4e09\u4e2a\u9690\u85cf\u5c42\n        self.hidden2 = nn.Linear(in_features=512, out_features=self.out_features)\n\n    def forward(self, x):\n\n        # \u7b2c\u4e00\u5c42 [b, 100] --&gt; [b, 256]\n        h = self.hidden0(x)\n        h = F.leaky_relu(input=h, negative_slope=0.2)\n\n        # \u7b2c\u4e8c\u5c42 [b, 256] --&gt; [b, 512]\n        h = self.hidden1(h)\n        h = F.leaky_relu(input=h, negative_slope=0.2)\n\n        # \u7b2c\u4e09\u5c42 [b, 512] --&gt; [b, 28 * 28]\n        h = self.hidden2(h)\n\n        # \u538b\u7f29\u6570\u636e\u7684\u53d8\u5316\u8303\u56f4\n        o = torch.tanh(h)\n\n        return o<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E9%89%B4%E5%88%AB%E5%99%A8\"><\/span>\u5b9a\u4e49\u9274\u522b\u5668<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u5b9a\u4e49\u4e00\u4e2a\u9274\u522b\u5668\n&quot;&quot;&quot;\n\nclass Discriminator(nn.Module):\n    &quot;&quot;&quot;\n        \u672c\u8d28\uff1a\u4e8c\u5206\u7c7b\u5206\u7c7b\u5668\n        \u8f93\u5165\uff1a\u4e00\u4e2a\u5bf9\u8c61\n        \u8f93\u51fa\uff1a\u771f\u54c1\u8fd8\u662f\u8d5d\u54c1\n    &quot;&quot;&quot;\n    def __init__(self, in_features=28*28, out_features=1):\n        super(Discriminator, self).__init__()\n\n        self.in_features=in_features\n        self.out_features=out_features\n\n        # \u7b2c\u4e00\u4e2a\u9690\u85cf\u5c42\n        self.hidden0= nn.Linear(in_features=self.in_features, out_features=512)\n\n        # \u7b2c\u4e8c\u4e2a\u9690\u85cf\u5c42\n        self.hidden1= nn.Linear(in_features=512, out_features=256)\n\n        # \u7b2c\u4e09\u4e2a\u9690\u85cf\u5c42\n        self.hidden2= nn.Linear(in_features=256, out_features=32)\n\n        # \u7b2c\u56db\u4e2a\u9690\u85cf\u5c42\n        self.hidden3= nn.Linear(in_features=32, out_features=self.out_features)\n\n    def forward(self, x):\n\n        # \u7b2c\u4e00\u5c42\n        h = self.hidden0(x)\n        h = F.leaky_relu(input=h, negative_slope=0.2)\n        h = F.dropout(input=h, p=0.2)\n\n        # \u7b2c\u4e8c\u5c42\n        h = self.hidden1(h)\n        h = F.leaky_relu(input=h, negative_slope=0.2)\n        h = F.dropout(input=h, p=0.2)\n\n        # \u7b2c\u4e09\u5c42\n        h = self.hidden2(h)\n        h = F.leaky_relu(input=h, negative_slope=0.2)\n        h = F.dropout(input=h, p=0.2)\n\n        # \u7b2c\u56db\u5c42\n        h = self.hidden3(h)\n\n        # \u8f93\u51fa\u6982\u7387\n        o = torch.sigmoid(h)\n\n        return o<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E6%9E%84%E5%BB%BA%E6%A8%A1%E5%9E%8B\"><\/span>\u6784\u5efa\u6a21\u578b<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u6784\u5efa\u6a21\u578b\n&quot;&quot;&quot;\n# \u5b9a\u4e49\u4e00\u4e2a\u751f\u6210\u5668\ngenerator = Generator(in_features=100, out_features=784)\ngenerator.to(device=device)\n\n# \u5b9a\u4e49\u4e00\u4e2a\u9274\u522b\u5668\ndiscriminator = Discriminator(in_features=784, out_features=1)\ndiscriminator.to(device=device)<\/code><\/pre>\n<h3><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E4%BC%98%E5%8C%96%E5%99%A8\"><\/span>\u5b9a\u4e49\u4f18\u5316\u5668<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u5b9a\u4e49\u4f18\u5316\u5668\n&quot;&quot;&quot;\n\n# \u5b9a\u4e49\u4e00\u4e2a\u751f\u6210\u5668\u7684\u4f18\u5316\u5668\ng_optimizer = torch.optim.Adam(params=generator.parameters(), lr=1e-4)\n\n# \u5b9a\u4e49\u4e00\u4e2a\u9274\u522b\u7684\u4f18\u5316\u5668\nd_optimizer = torch.optim.Adam(params=discriminator.parameters(), lr=1e-4)<\/code><\/pre>\n<h3><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0\"><\/span>\u5b9a\u4e49\u635f\u5931\u51fd\u6570<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u5b9a\u4e49\u4e00\u4e2a\u635f\u5931\u51fd\u6570\n&quot;&quot;&quot;\nloss_fn = nn.BCELoss()<\/code><\/pre>\n<h3><span class=\"ez-toc-section\" id=\"%E7%AD%B9%E5%A4%87%E8%AE%AD%E7%BB%83\"><\/span>\u7b79\u5907\u8bad\u7ec3<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E8%AE%AD%E7%BB%83%E8%BD%AE%E6%AC%A1\"><\/span>\u5b9a\u4e49\u8bad\u7ec3\u8f6e\u6b21<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">\n# \u5b9a\u4e49\u8bad\u7ec3\u8f6e\u6b21\nnum_epochs = 1000\n<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E8%8E%B7%E5%8F%96%E6%95%B0%E6%8D%AE%E7%9A%84%E6%A0%87%E7%AD%BE\"><\/span>\u83b7\u53d6\u6570\u636e\u7684\u6807\u7b7e<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u83b7\u53d6\u6570\u636e\u7684\u6807\u7b7e\n&quot;&quot;&quot;\n\ndef get_real_data_labels(size):\n    &quot;&quot;&quot;\n        \u83b7\u53d6\u771f\u5b9e\u6570\u636e\u7684\u6807\u7b7e\n    &quot;&quot;&quot;\n    labels = torch.ones(size, 1, device=device)\n\n    return labels\n\ndef get_fake_data_labels(size):\n    &quot;&quot;&quot;\n        \u83b7\u53d6\u865a\u5047\u6570\u636e\u7684\u6807\u7b7e\n    &quot;&quot;&quot;\n    labels = torch.zeros(size, 1, device=device)\n\n    return labels<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E5%99%AA%E5%A3%B0%E7%94%9F%E6%88%90%E5%99%A8\"><\/span>\u5b9a\u4e49\u566a\u58f0\u751f\u6210\u5668<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u566a\u58f0\u751f\u6210\u5668\n&quot;&quot;&quot;\ndef get_noise(size):\n    &quot;&quot;&quot;\n        \u7ed9\u751f\u6210\u5668\u51c6\u5907\u6570\u636e\n        - 100\u7ef4\u5ea6\u7684\u5411\u91cf\n    &quot;&quot;&quot;\n    X = torch.randn(size, 100, device=device)\n\n    return X\n\n# \u83b7\u53d6\u4e00\u6279\u6d4b\u8bd5\u6570\u636e\n\nnum_test_samples = 16\ntest_noise = get_noise(num_test_samples)<\/code><\/pre>\n<blockquote>\n<p>\u566a\u58f0\u751f\u6210\u5668\u7684\u4f5c\u7528\uff1a\u56e0\u4e3a\u6211\u4eec\u9700\u8981\u76d1\u63a7\u6a21\u578b\u8bad\u7ec3\u7684\u6548\u679c\uff0c\u6240\u4ee5\u5c06\u566a\u58f0\u56fa\u5b9a\u4e0b\u6765\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u770b\u540c\u6837\u7684\u566a\u58f0\u6700\u540e\u7ed9\u51fa\u7684\u7ed3\u679c\u662f\u5426\u53d8\u5f97\u8d8a\u6765\u8d8a\u597d\u3002<\/p>\n<\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B\"><\/span>\u8bad\u7ec3\u6a21\u578b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"language-python\">&quot;&quot;&quot;\n    \u8bad\u7ec3\u8fc7\u7a0b\n&quot;&quot;&quot;\n\ng_losses = []\nd_losses = []\nfor epoch in range(1, num_epochs+1):\n\n    print(f&quot;\u5f53\u524d\u6b63\u5728\u8fdb\u884c \u7b2c {epoch} \u8f6e ....&quot;)\n\n    # \u8bbe\u7f6e\u8bad\u7ec3\u6a21\u5f0f\n    generator.train()\n    discriminator.train()\n\n    # \u904d\u5386\u771f\u5b9e\u7684\u56fe\u50cf\n    for batch_idx, (batch_real_data, _) in enumerate(data_loader): \n        &quot;&quot;&quot;\n        1, \u5148\u8bad\u7ec3\u9274\u522b\u5668\n            \u9274\u522b\u5668\u5c31\u662f\u4e00\u4e2a\u4e8c\u5206\u7c7b\u95ee\u9898\n            - \u7ed9\u4e00\u6279\u771f\u6570\u636e\uff0c\u8f93\u51fa\u771f\n            - \u7ed9\u4e00\u6279\u5047\u6570\u636e\uff0c\u8f93\u51fa\u5047\n\n        &quot;&quot;&quot;\n\n        # 1.1 \u51c6\u5907\u6570\u636e\n        # \u56fe\u50cf\u8f6c\u5411\u91cf [b, 1, 28, 28] ---&gt; [b, 784]\n        # \u4ece\u6570\u636e\u96c6\u4e2d\u83b7\u53d6100\u4e2a\u771f\u5b9e\u7684\u624b\u5199\u6570\u5b57\u56fe\u50cf\n        real_data = batch_real_data.view(batch_real_data.size(0), -1).to(device=device)\n\n        # \u566a\u58f0[b, 100]\n        # \u968f\u673a\u751f\u6210100\u4e2a100\u7ef4\u5ea6\u7684\u566a\u58f0\uff0c\u7528\u4e8e\u751f\u6210\u5047\u56fe\u50cf\n        noise = get_noise(real_data.size(0))\n\n        # \u6839\u636e\u566a\u58f0\uff0c\u751f\u6210\u5047\u6570\u636e \n        # [b, 100] --&gt; [b, 784]\n        fake_data = generator(noise).detach()\n\n        # 1.2 \u8bad\u7ec3\u8fc7\u7a0b\n\n        # \u9274\u522b\u5668\u7684\u4f18\u5316\u5668\u68af\u5ea6\u60c5\u51b5\n        d_optimizer.zero_grad()\n\n        # \u5bf9\u771f\u5b9e\u6570\u636e\u9274\u522b\n        real_pred = discriminator(real_data)\n\n        # \u8ba1\u7b97\u771f\u5b9e\u6570\u636e\u7684\u8bef\u5dee\n        real_loss = loss_fn(real_pred, get_real_data_labels(real_data.size(0)))\n\n        # \u771f\u5b9e\u6570\u636e\u7684\u68af\u5ea6\u56de\u4f20\n        real_loss.backward()\n\n        # \u5bf9\u5047\u6570\u636e\u9274\u522b\n        fake_pred = discriminator(fake_data)\n\n        # \u8ba1\u7b97\u5047\u6570\u636e\u7684\u8bef\u5dee\n        fake_loss = loss_fn(fake_pred, get_fake_data_labels(fake_data.size(0)))\n\n        # \u5047\u6570\u636e\u68af\u5ea6\u56de\u4f20\n        fake_loss.backward()\n\n        # \u68af\u5ea6\u66f4\u65b0\n        d_optimizer.step()\n\n        # ----------------\n        d_losses.append((real_loss + fake_loss).item())\n        # print(f&quot;\u9274\u522b\u5668\u7684\u635f\u5931:{real_loss + fake_loss}&quot;)\n\n        &quot;&quot;&quot;2, \u518d\u8bad\u7ec3\u751f\u6210\u5668&quot;&quot;&quot;\n\n        # \u83b7\u53d6\u751f\u6210\u5668\u7684\u751f\u6210\u7ed3\u679c\n        fake_pred = generator(get_noise(real_data.size(0)))\n\n        # \u751f\u4ea7\u5668\u68af\u5ea6\u6e05\u7a7a\n        g_optimizer.zero_grad()\n\n        # \u628a\u5047\u6570\u636e\u8ba9\u9274\u522b\u5668\u9274\u522b\u4e00\u4e0b\n        # \u628adiscriminator requires_grad = False\n        # \u8bbe\u7f6e\u4e3a\u4e0d\u53ef\u5b66\u4e60\n        for param in discriminator.parameters():\n            param.requires_grad = False\n\n        d_pred = discriminator(fake_pred)\n\n        # \u8bbe\u7f6e\u4e3a\u53ef\u5b66\u4e60\n        for param in discriminator.parameters():\n            param.requires_grad = True\n\n        # \u8ba1\u7b97\u635f\u5931\n        # \u628a\u4e00\u4e2a\u5047\u4e1c\u897f\uff0c\u7ed9\u4e13\u5bb6\u770b\uff0c\u4e13\u5bb6\u8bf4\u662f\u771f\u7684\uff0c\u8fd9\u4e2a\u65f6\u5019\uff0c\u9020\u5047\u7684\u6c34\u5e73\u5c31\u53ef\u4ee5\u4e86\n        g_loss = loss_fn(d_pred, get_real_data_labels(d_pred.size(0)))\n\n        # \u68af\u5ea6\u56de\u4f20\n        g_loss.backward()\n\n        # \u53c2\u6570\u66f4\u65b0\n        g_optimizer.step()\n\n        # print(f&quot;\u751f\u6210\u5668\u8bef\u5dee\uff1a{g_loss}&quot;)\n        g_losses.append(g_loss.item())\n\n    # \u6bcf\u8f6e\u8bad\u7ec3\u4e4b\u540e\uff0c\u89c2\u5bdf\u751f\u6210\u5668\u7684\u6548\u679c\n    generator.eval()\n\n    with torch.no_grad():\n\n        # \u6b63\u5411\u63a8\u7406\n        img_pred = generator(test_noise)\n        img_pred = img_pred.view(img_pred.size(0), 28, 28).cpu().data\n\n        # \u753b\u56fe\n        display.clear_output(wait=True)\n\n        # \u8bbe\u7f6e\u753b\u56fe\u7684\u5927\u5c0f\n        fig = plt.figure(1, figsize=(12, 8)) \n        # \u5212\u5206\u4e3a 4 x 4 \u7684 \u7f51\u683c\n        gs = gridspec.GridSpec(4, 4)\n\n        # \u904d\u5386\u6bcf\u4e00\u4e2a\n        for i in range(4):\n            for j in range(4):\n                # \u53d6\u6bcf\u4e00\u4e2a\u56fe\n                X = img_pred[i * 4 + j, :, :]\n                # \u6dfb\u52a0\u4e00\u4e2a\u5bf9\u5e94\u7f51\u683c\u5185\u7684\u5b50\u56fe\n                ax = fig.add_subplot(gs[i, j])\n                # \u5728\u5b50\u56fe\u5185\u7ed8\u5236\u56fe\u50cf\n                ax.matshow(X, cmap=plt.get_cmap(&quot;Greys&quot;))\n                # ax.set_xlabel(f&quot;{label}&quot;)\n                ax.set_xticks(())\n                ax.set_yticks(())\n        plt.show()<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/GAN\u8bad\u7ec3\u6548\u679c\u793a\u610f\u56fe.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/GAN\u8bad\u7ec3\u6548\u679c\u793a\u610f\u56fe.png\" alt=\"\" \/><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E6%A0%B8%E5%BF%83%E4%BB%A3%E7%A0%81%E8%AF%B4%E6%98%8E%EF%BC%9A\"><\/span>\u6838\u5fc3\u4ee3\u7801\u8bf4\u660e\uff1a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\"><\/span>\u8bad\u7ec3\u8fc7\u7a0b<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<ul>\n<li>\u968f\u673a\u751f\u6210\u4e00\u7ec4\u6f5c\u5728\u5411\u91cfz\uff0c\u5e76\u4f7f\u7528\u751f\u6210\u5668\u751f\u6210\u4e00\u7ec4\u5047\u6570\u636e\u3002<\/li>\n<li>\u5c06\u4e00\u7ec4\u771f\u5b9e\u6570\u636e\u548c\u4e00\u7ec4\u5047\u6570\u636e\u4f5c\u4e3a\u8f93\u5165\uff0c\u8bad\u7ec3\u5224\u522b\u5668\u3002<\/li>\n<li>\u4f7f\u7528\u751f\u6210\u5668\u751f\u6210\u4e00\u7ec4\u65b0\u7684\u5047\u6570\u636e\uff0c\u5e76\u8bad\u7ec3\u5224\u522b\u5668\u3002<\/li>\n<li>\u91cd\u590d\u6b65\u9aa42\u548c3\uff0c\u76f4\u5230\u751f\u6210\u5668\u751f\u6210\u7684\u5047\u6570\u636e\u4e0e\u771f\u5b9e\u6570\u636e\u7684\u5206\u5e03\u76f8\u4f3c\u3002<\/li>\n<\/ul>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/GAN\u8bad\u7ec3\u8fc7\u7a0b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/GAN\u8bad\u7ec3\u8fc7\u7a0b.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E6%A0%B8%E5%BF%83%E4%BB%A3%E7%A0%81\"><\/span>\u6838\u5fc3\u4ee3\u7801<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<ul>\n<li><code>fake_data = generator(noise).detach()<\/code>\uff1a\n<ul>\n<li><strong>\u4f5c\u7528<\/strong>\uff1a\u662f\u751f\u6210\u5668\u751f\u6210\u4e00\u7ec4\u5047\u6570\u636e\uff0c\u5e76\u4f7f\u7528detach()\u65b9\u6cd5\u5c06\u5176\u4ece\u8ba1\u7b97\u56fe\u4e2d\u5206\u79bb\u51fa\u6765\uff0c\u9632\u6b62\u68af\u5ea6\u56de\u4f20\u3002<\/li>\n<li><strong>\u8bf4\u660e<\/strong>\uff1a(\u56e0\u4e3a\u5728\u8bad\u7ec3\u9274\u522b\u5668\u65f6\uff0c\u751f\u6210\u5668\u53ea\u662f\u5de5\u5177\u4eba\uff0c\u5176\u524d\u5411\u4f20\u64ad\u8fc7\u7a0b\u4e2d\u8bb0\u5f55\u7684\u68af\u5ea6\u4fe1\u606f\u4e0d\u4f1a\u88ab\u4f7f\u7528\uff0c\u6240\u4ee5\u4e0d\u9700\u8981\u8bb0\u5f55\u68af\u5ea6\u4fe1\u606f)<\/li>\n<\/ul>\n<\/li>\n<li><code>g_loss = loss_fn(d_pred, get_real_data_labels(d_pred.size(0)))<\/code> \u8fd9\u91cc\u662f\u4f53\u73b0\u5bf9\u6297\u7684\u6838\u5fc3\u4ee3\u7801\uff0c\u5373\uff1a\u751f\u6210\u5668\u8bad\u7ec3\u7684\u597d\u4e0d\u597d\uff0c\u662f\u8981\u4e0e\u771f\u5b9e\u6570\u636e\u7684\u5224\u522b\u7ed3\u679c\u8d8a\u63a5\u8fd1\u8d8a\u597d\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E8%A1%A5%E5%85%85%E7%9F%A5%E8%AF%86\"><\/span>\u8865\u5145\u77e5\u8bc6<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h4><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%BC%BA\"><\/span>\u6570\u636e\u589e\u5f3a<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u5728\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u7684\u8bad\u7ec3\u4e2d\uff0c\u91c7\u96c6\u6837\u672c\u662f\u9700\u8981\u6210\u672c\u7684\uff0c\u6240\u4ee5\u4e3a\u4e86\u63d0\u5347\u6837\u672c\u7684\u4e30\u5bcc\u6027\uff0c\u4e00\u822c\u4f1a\u91c7\u7528\u6570\u636e\u589e\u5f3a\u7684\u65b9\u5f0f\u3002<\/p>\n<ul>\n<li><strong>\u65b9\u5f0f<\/strong>\uff1a\u5728\u6837\u672c\u56fa\u5b9a\u7684\u57fa\u7840\u4e0a\uff0c\u901a\u8fc7\u8f6f\u4ef6\u6a21\u62df\uff0c\u6765\u751f\u6210\u5047\u6570\u636e\uff0c\u4e30\u5bcc\u6837\u672c\u7684\u591a\u6837\u6027<\/li>\n<li><strong>\u672c\u8d28<\/strong>\uff1a\u7ed9\u6837\u672c\u52a0\u4e0a\u9002\u5f53\u7684\u566a\u58f0\uff0c\u6a21\u62df\u51fa\u4e0d\u540c\u573a\u666f\u7684\u6837\u672c<\/li>\n<li><strong>\u8bf4\u660e<\/strong>\uff1a\u6570\u636e\u589e\u5f3a\u53ea\u53d1\u751f\u5728\u6a21\u578b\u8bad\u7ec3\u4e2d\uff0c\u4e3a\u4e86\u589e\u52a0\u8bad\u7ec3\u6837\u672c\u7684\u591a\u6837\u6027<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"transform%E4%BB%8B%E7%BB%8D\"><\/span>transform\u4ecb\u7ecd<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u5728 PyTorch \u4e2d\uff0ctransform \u4e3b\u8981\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406\u548c\u589e\u5f3a\uff0c\u7279\u522b\u662f\u5728\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u4e2d\u3002transform \u662f torchvision \u5e93\u7684\u4e00\u90e8\u5206\uff0c\u80fd\u591f\u5bf9\u6570\u636e\u96c6\u4e2d\u7684\u56fe\u50cf\u8fdb\u884c\u5404\u79cd\u8f6c\u6362\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u9002\u5e94\u6a21\u578b\u8bad\u7ec3\u7684\u9700\u6c42\u3002\u4ee5\u4e0b\u662f transform \u7684\u4e3b\u8981\u4f5c\u7528<\/p>\n<pre><code class=\"language-python\">import torch\nfrom torchvision import datasets, transforms\n\nfrom PIL import Image\nimport matplotlib.pyplot as plt\n\n# \u8bfb\u53d6\u672c\u5730\u4e0b\u8f7d\u7684\u4e00\u5f20\u56fe\u7247\nimg = Image.open(&#039;girl.png&#039;)\nimg<\/code><\/pre>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u7f8e\u5973\u56fe\u7247.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u7f8e\u5973\u56fe\u7247.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E9%87%8D%E8%AE%BE%E5%9B%BE%E7%89%87%E5%B0%BA%E5%AF%B8\"><\/span>\u91cd\u8bbe\u56fe\u7247\u5c3a\u5bf8<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">resize = transforms.Resize((300, 200))\nresize_img = resize(img)\nresize_img<\/code><\/pre>\n<p>\u8fd0\u884c\u6548\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u91cd\u8bbe\u56fe\u7247\u5c3a\u5bf8.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u91cd\u8bbe\u56fe\u7247\u5c3a\u5bf8.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E4%B8%AD%E5%BF%83%E8%A3%81%E5%89%AA\"><\/span>\u4e2d\u5fc3\u88c1\u526a<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">centercrop = transforms.CenterCrop(size=(200, 200))\ncenter_img = centercrop(img)\ncenter_img<\/code><\/pre>\n<p>\u8fd0\u884c\u6548\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u4e2d\u5fc3\u88c1\u526a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u4e2d\u5fc3\u88c1\u526a.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E9%9A%8F%E6%9C%BA%E8%B0%83%E6%95%B4%E4%BA%AE%E5%BA%A6%E3%80%81%E9%A5%B1%E5%92%8C%E5%BA%A6%E3%80%81%E5%AF%B9%E6%AF%94%E5%BA%A6%E7%AD%89\"><\/span>\u968f\u673a\u8c03\u6574\u4eae\u5ea6\u3001\u9971\u548c\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u7b49<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">color_jitter = transforms.ColorJitter(brightness=0.5, \n                                      contrast=0.5, \n                                      saturation=0.5, \n                                      hue=0.5)\ncolor_jitter(img)<\/code><\/pre>\n<p>\u8fd0\u884c\u6548\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u968f\u673a\u8c03\u6574\u4eae\u5ea6.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u968f\u673a\u8c03\u6574\u4eae\u5ea6.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E9%9A%8F%E6%9C%BA%E6%97%8B%E8%BD%AC\"><\/span>\u968f\u673a\u65cb\u8f6c<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">random_rotation = transforms.RandomRotation(degrees=10)\nrandom_rotation(img)<\/code><\/pre>\n<p>\u8fd0\u884c\u6548\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u968f\u673a\u65cb\u8f6c.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u968f\u673a\u65cb\u8f6c.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E7%BB%84%E5%90%88%E5%8F%98%E6%8D%A2\"><\/span>\u7ec4\u5408\u53d8\u6362<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Compose\uff1a\u53ef\u4ee5\u5c06\u591a\u4e2a\u53d8\u6362\u7ec4\u5408\u5728\u4e00\u8d77\uff0c\u5f62\u6210\u4e00\u4e2a\u8f6c\u6362\u7ba1\u9053\uff0c\u65b9\u4fbf\u6279\u91cf\u5904\u7406\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">from torchvision import transforms\n\ntransform = transforms.Compose([\n    transforms.Resize((128, 128)),\n    transforms.RandomHorizontalFlip(),\n    transforms.ToTensor(),          # \u5c06PIL Image\u8f6c\u6362\u4e3aTensor\n    transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]), # \u5c06\u6570\u636e\u5f52\u4e00\u5316\u5230[-1, 1]\u4e4b\u95f4\n])\n<\/code><\/pre>\n<h2><span class=\"ez-toc-section\" id=\"%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\"><\/span>\u5185\u5bb9\u5c0f\u7ed3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>GAN\uff08\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff09\u662f\u4e00\u79cd\u7279\u6b8a\u7684\u5b66\u4e60\u7b56\u7565\uff0c\u5b83\u7531\u751f\u6210\u5668\u548c\u5224\u522b\u5668\u7ec4\u6210\uff0c\u751f\u6210\u5668\u751f\u6210\u5047\u6570\u636e\uff0c\u5224\u522b\u5668\u5224\u65ad\u771f\u5047\u3002<\/li>\n<li>\u751f\u6210\u5668\uff08Generator\uff09\u901a\u8fc7\u673a\u5668\u751f\u6210\u5047\u7684\u6570\u636e\uff08\u5927\u90e8\u5206\u60c5\u51b5\u4e0b\u662f\u56fe\u50cf\uff09\uff0c\u6700\u7ec8\u76ee\u7684\u662f\u201c\u9a97\u8fc7\u201d\u5224\u522b\u5668\u3002<\/li>\n<li>\u5224\u522b\u5668\uff08Discriminator\uff09\uff1a\u5224\u65ad\u8fd9\u5f20\u56fe\u50cf\u662f\u771f\u5b9e\u7684\u8fd8\u662f\u673a\u5668\u751f\u6210\u7684\uff0c\u76ee\u7684\u662f\u627e\u51fa\u751f\u6210\u5668\u505a\u7684\u201c\u5047\u6570\u636e\u201d\u3002<\/li>\n<li>\u8bad\u7ec3\u8fc7\u7a0b\u662f\uff1a\u5148\u8bad\u7ec3\u5224\u522b\u5668\uff0c\u518d\u8bad\u7ec3\u751f\u6210\u5668\u3002<\/li>\n<li>\u8bad\u7ec3\u5224\u522b\u5668\u65f6\uff0c\u751f\u6210\u5668\u662f&quot;\u5de5\u5177\u4eba&quot;\uff0c\u6240\u4ee5\u9700\u8981\u4f7f\u7528detach()\u65b9\u6cd5\uff0c\u5c06\u751f\u6210\u5668\u751f\u6210\u7684\u5047\u6570\u636e\u4ece\u8ba1\u7b97\u56fe\u4e2d\u5206\u79bb\u51fa\u6765\uff0c\u9632\u6b62\u68af\u5ea6\u56de\u4f20\u3002<\/li>\n<li>\u8bad\u7ec3\u751f\u6210\u5668\u65f6\uff0c\u5224\u522b\u5668\u662f&quot;\u5de5\u5177\u4eba&quot;\uff0c\u4e3a\u4e86\u907f\u514d\u6574\u4e2a\u68af\u5ea6\u6d88\u5931\uff0c\u9700\u8981\u4f7f\u7528param.requires_grad = False\u8bbe\u7f6e\u4e3a\u4e0d\u53ef\u5b66\u4e60\uff0c\u5224\u522b\u5b8c\u4e4b\u540e\u518d\u4f7f\u7528param.requires_grad = True\u8bbe\u7f6e\u4e3a\u53ef\u5b66\u4e60\u3002<\/li>\n<li>\u5728\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u901a\u5e38\u4f1a\u4f7f\u7528\u6570\u636e\u589e\u5f3a\u7684\u65b9\u5f0f\uff0c\u5728\u6837\u672c\u56fa\u5b9a\u7684\u57fa\u7840\u4e0a\uff0c\u901a\u8fc7\u8f6f\u4ef6\u6a21\u62df\uff0c\u6765\u751f\u6210\u5047\u6570\u636e\uff0c\u4e30\u5bcc\u6837\u672c\u7684\u591a\u6837\u6027\u3002<\/li>\n<li>transform\uff1a\u5728 PyTorch \u4e2d\uff0ctransform \u4e3b\u8981\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406\u548c\u589e\u5f3a\uff0c\u7279\u522b\u662f\u5728\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u4e2d\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\"><\/span>\u53c2\u8003\u8d44\u6599<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/blog.csdn.net\/weixin_43334693\/article\/details\/135271954\">CSDN\uff1a\u9002\u5408\u5c0f\u767d\u5b66\u4e60\u7684GAN\uff08\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff09\u7b97\u6cd5\u8d85\u8be6\u7ec6\u89e3\u8bfb<\/a><\/p>\n<p align=\"center\">\u6b22\u8fce\u5173\u6ce8\u516c\u4f17\u53f7\u4ee5\u83b7\u5f97\u6700\u65b0\u7684\u6587\u7ae0\u548c\u65b0\u95fb<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" alt=\"\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u524d\u8a00 \u5728\u524d\u4e00\u9636\u6bb5\u8bfe\u7a0b\u4e2d\uff0c\u6211\u4eec\u5b66\u4e60\u4e86\u56fe\u50cf\u5206 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":8163,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"aside","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[28],"tags":[66],"class_list":["post-8105","post","type-post","status-publish","format-aside","has-post-thumbnail","hentry","category-blog","tag-66","post_format-post-format-aside"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day16\uff1a\u5bf9\u6297\u751f\u6210\u7f51\u7edcGAN - \u4e00\u8d77AI\u6280\u672f<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/17aitech.com\/?p=8105\" \/>\n<script type=\"application\/ld+json\" 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