{"id":2293,"date":"2024-06-24T16:46:34","date_gmt":"2024-06-24T08:46:34","guid":{"rendered":"https:\/\/17aitech.com\/?p=2293"},"modified":"2024-10-16T17:32:33","modified_gmt":"2024-10-16T09:32:33","slug":"%e3%80%90%e8%af%be%e7%a8%8b%e6%80%bb%e7%bb%93%e3%80%91day11%ef%bc%88%e4%b8%8a%ef%bc%89%ef%bc%9a%e6%89%8b%e5%8a%bf%e5%9b%be%e5%83%8f%e8%af%86%e5%88%ab%e5%ae%9e%e6%88%98lenet%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=2293","title":{"rendered":"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day11\uff08\u4e0a\uff09\uff1a\u624b\u52bf\u56fe\u50cf\u8bc6\u522b\u5b9e\u6218(LeNet\u6a21\u578b)"},"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=\"#\" 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href=\"https:\/\/17aitech.com\/?p=2293\/#%E6%A8%A1%E5%9E%8B%E8%AF%84%E4%BC%B0\" >\u6a21\u578b\u8bc4\u4f30<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/17aitech.com\/?p=2293\/#%E5%AE%9E%E7%8E%B0%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\" >\u5b9e\u73b0\u8bad\u7ec3\u8fc7\u7a0b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/17aitech.com\/?p=2293\/#%E5%BC%80%E5%A7%8B%E8%AE%AD%E7%BB%83\" >\u5f00\u59cb\u8bad\u7ec3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/17aitech.com\/?p=2293\/#%E5%9B%BE%E5%BD%A2%E5%8C%96%E7%9B%91%E6%8E%A7%E6%95%B0%E6%8D%AE\" >\u56fe\u5f62\u5316\u76d1\u63a7\u6570\u636e<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/17aitech.com\/?p=2293\/#%E6%A8%A1%E5%9E%8B%E9%A2%84%E6%B5%8B\" >\u6a21\u578b\u9884\u6d4b<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/17aitech.com\/?p=2293\/#%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\" >\u5185\u5bb9\u5c0f\u7ed3<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E5%89%8D%E8%A8%80\"><\/span>\u524d\u8a00<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u4e0a\u4e00\u7ae0\u5185\u5bb9\u6211\u4eec\u521d\u6b65\u4e86\u89e3\u4e86\u5377\u79ef\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u642d\u5efa\u8fc7\u7a0b\u4ee5\u53ca\u7ecf\u5178\u7684LeNet\u7f51\u7edc\u7ed3\u6784\uff0c\u672c\u7bc7\u5185\u5bb9\u5c06\u57fa\u4e8eLeNet\u7f51\u7edc\u7ed3\u6784\uff0c\u5b9e\u73b0\u624b\u52bf\u8bc6\u522b\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E6%89%8B%E5%8A%BF%E8%AF%86%E5%88%AB\"><\/span>\u624b\u52bf\u8bc6\u522b<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E9%9B%86%E4%BB%8B%E7%BB%8D\"><\/span>\u6570\u636e\u96c6\u4ecb\u7ecd<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u5728\u5f00\u5c55\u624b\u52bf\u8bc6\u522b\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5148\u4e0b\u8f7d\u5e76\u521d\u6b65\u4e86\u89e3\u6570\u636e\u96c6\u7684\u60c5\u51b5\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E4%B8%8B%E8%BD%BD%E5%9C%B0%E5%9D%80\"><\/span>\u6570\u636e\u4e0b\u8f7d\u5730\u5740<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u4e0b\u8f7d\u5730\u5740\uff1a<a href=\"https:\/\/pan.baidu.com\/s\/1kAYJz0kr8wKMBdpDxt5Dxw?pwd=zwbh\">\u624b\u52bf\u8bc6\u522b\u6570\u636e\u96c6<\/a><br \/>\n\u6570\u636e\u96c6\u89e3\u538b\u540e\u76ee\u5f55\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-bash\">\u251c\u2500\u2500 train                   # \u8bad\u7ec3\u96c6\n    \u251c\u2500\u2500 G0                  # \u624b\u52bf0\n        \u251c\u2500\u2500 IMG_1118.jpg    # \u624b\u52bf0\u7684\u56fe\u7247\n        \u251c\u2500\u2500 ...\n    \u251c\u2500\u2500 G1                  # \u624b\u52bf1\n        \u251c\u2500\u2500 IMG_1119.jpg\n        \u251c\u2500\u2500 ...\n    \u251c\u2500\u2500 ...\n    \u251c\u2500\u2500 G9                  # \u624b\u52bf9\n\u251c\u2500\u2500 test                    # \u6d4b\u8bd5\u96c6\n    \u251c\u2500\u2500 G0\n    \u251c\u2500\u2500 ...\n    \u251c\u2500\u2500 G9  <\/code><\/pre>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u6570\u636e\u96c6\u622a\u56fe.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u6570\u636e\u96c6\u622a\u56fe.png\" alt=\"\" \/><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E9%A1%B9%E7%9B%AE%E6%B5%81%E7%A8%8B\"><\/span>\u9879\u76ee\u6d41\u7a0b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u5728<a href=\"https:\/\/17aitech.com\/?p=2178#1_%E6%95%B0%E6%8D%AE%E9%A2%84%E5%A4%84%E7%90%86\">\u300a\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day8\uff08\u4e0a\uff09\uff1a\u6df1\u5ea6\u5b66\u4e60\u57fa\u672c\u6d41\u7a0b\u300b<\/a>\u4e2d\uff0c\u6211\u4eec\u5df2\u4e86\u89e3\u5230\u6df1\u5ea6\u5b66\u4e60\u7684\u57fa\u672c\u6d41\u7a0b\u4e3a\uff1a<\/p>\n<ol>\n<li>\u6570\u636e\u9884\u5904\u7406<br \/>\n1.1 \u6570\u636e\u8bfb\u53d6<br \/>\n1.2 \u6570\u636e\u5207\u5206<br \/>\n1.3 \u6570\u636e\u89c4\u8303\u5316<\/li>\n<li>\u6279\u91cf\u5316\u6253\u5305\u6570\u636e<\/li>\n<li>\u6a21\u578b\u642d\u5efa<\/li>\n<li>\u7b79\u5907\u8bad\u7ec3<\/li>\n<li>\u8bad\u7ec3\u6a21\u578b<br \/>\n5.1 \u5b9a\u4e49\u76d1\u63a7\u6307\u6807\u548c\u65b9\u6cd5<br \/>\n5.2 \u5b9e\u73b0\u8bad\u7ec3\u8fc7\u7a0b<br \/>\n5.3 \u5f00\u59cb\u8bad\u7ec3<\/li>\n<\/ol>\n<p>\u56e0\u6b64\uff0c\u672c\u6b21\u9879\u76ee\u4e5f\u91c7\u7528\u5982\u4e0a\u7684\u57fa\u672c\u6d41\u7a0b\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E9%A2%84%E5%A4%84%E7%90%86\"><\/span>\u6570\u636e\u9884\u5904\u7406<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u7531\u4e0a\u8ff0\u76ee\u5f55\u7ed3\u6784\u53ef\u77e5\uff0c\u6211\u4eec\u9700\u8981\u5728\u8bad\u7ec3\u524d\u4f7f\u7528DataLoader\u5c06\u6570\u636e\u96c6\u6253\u5305\u6210\u9002\u5408\u8bad\u7ec3\u7684\u683c\u5f0f\uff0c\u56e0\u6b64\u9700\u8981\u89e3\u51b32\u4e2a\u95ee\u9898\uff1a<\/p>\n<h5><span class=\"ez-toc-section\" id=\"%E9%97%AE%E9%A2%981%EF%BC%9A%E5%A6%82%E4%BD%95%E8%AE%B0%E5%BD%95%E6%A0%87%E7%AD%BE%E6%95%B0%E6%8D%AE%E5%92%8C%E5%9B%BE%E7%89%87%E6%95%B0%E6%8D%AE\"><\/span>\u95ee\u98981\uff1a\u5982\u4f55\u8bb0\u5f55\u6807\u7b7e\u6570\u636e\u548c\u56fe\u7247\u6570\u636e<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u89e3\u51b3\u65b9\u6cd5\uff1a<\/p>\n<ul>\n<li>\u83b7\u53d6\u6807\u7b7e\uff1a\u4e0a\u8ff0\u76ee\u5f55\u4e2d\u7684G0\u3001G1\u3001G2&#8230;G9\u6587\u4ef6\u5939\u540d\u79f0\u5373\u4e3a\u624b\u52bf\u6807\u7b7e\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7os.listdir()\u51fd\u6570\u83b7\u53d6\u6587\u4ef6\u5939\u540d\u79f0\u3002<\/li>\n<li>\u4fdd\u5b58\u6807\u7b7e\uff1a\u5c06\u4e0a\u8ff0\u904d\u5386\u7684G0\u3001G1\u3001G2&#8230;G9\u6587\u4ef6\u5939\u540d\u79f0\u4fdd\u5b58\u5230\u5217\u8868<code>label_train<\/code>\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u4f7f\u7528\u3002<\/li>\n<li>\u83b7\u53d6\u56fe\u7247\u8def\u5f84\uff1a\u901a\u8fc7os.listdir()\u51fd\u6570\u83b7\u53d6\u6587\u4ef6\u5939\u4e2d\u7684\u56fe\u7247\u540d\u79f0\uff0c\u4ece\u800c\u83b7\u53d6\u56fe\u7247\u8def\u5f84\u3002<\/li>\n<li>\u4fdd\u5b58\u56fe\u7247\u8def\u5f84\uff1a\u5c06\u4e0a\u8ff0\u904d\u5386\u7684\u56fe\u7247\u8def\u5f84\u4fdd\u5b58\u5230\u5217\u8868<code>img_train<\/code>\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u4f7f\u7528\u3002<\/li>\n<\/ul>\n<pre><code class=\"language-python\"># \u8bfb\u53d6gestures\\train\\G0\u76ee\u5f55\u4e0b\u7684\u6240\u6709\u56fe\u7247\u8def\u5f84\uff0c\u6dfb\u52a0\u81f3list\u4e2d\nimport os\nimport random\nimport numpy as np\nimport cv2\n\ndef load_img_label(train_root):\n    img_train = []\n    label_train = []\n    for label in os.listdir(train_root):\n        label_path = os.path.join(train_root, label)\n        # \u6392\u9664\u6389.\u5f00\u5934\u7684\u6587\u4ef6\n        if label.startswith(&#039;.&#039;):\n            continue\n        for img_name in os.listdir(label_path):\n            img_path = os.path.join(label_path, img_name)\n            img_train.append(img_path)\n            label_train.append(label)\n    return img_train, label_train\n\n# 1\uff0c\u8bfb\u53d6\u57fa\u56fe\u50cf\u7684\u672c\u4fe1\u606f\nroot = &quot;gestures&quot;\n\n# 1,\u8bad\u7ec3\u96c6\ntrain_root = os.path.join(root, &#039;train&#039;)\ntrain_img, train_label = load_img_label(train_root)\n\n# 2,\u6d4b\u8bd5\u96c6\ntest_root = os.path.join(root, &#039;test&#039;)\ntest_img, test_label = load_img_label(test_root)\n\nlable_list = list(set(train_label))\nlable_list.sort()\n\n# 3,\u6784\u5efa\u6807\u7b7e\u5b57\u5178\nlabel2idx = {label: idx for idx, label in enumerate(lable_list)}\nidx2label = {idx: label for idx, label in enumerate(lable_list)}\nprint(label2idx)\nprint(idx2label)\n<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"%E9%97%AE%E9%A2%982%EF%BC%9A%E5%A6%82%E4%BD%95%E5%B0%86%E5%9B%BE%E7%89%87%E5%92%8C%E6%A0%87%E7%AD%BE%E6%95%B0%E6%8D%AE%E6%89%93%E5%8C%85%E6%88%90%E9%80%82%E5%90%88%E8%AE%AD%E7%BB%83%E7%9A%84%E6%A0%BC%E5%BC%8F\"><\/span>\u95ee\u98982\uff1a\u5982\u4f55\u5c06\u56fe\u7247\u548c\u6807\u7b7e\u6570\u636e\u6253\u5305\u6210\u9002\u5408\u8bad\u7ec3\u7684\u683c\u5f0f<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u89e3\u51b3\u65b9\u6cd5\uff1a<\/p>\n<ul>\n<li>\u6784\u5efa\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u7c7bGesturesDataset<\/li>\n<li>\u91cd\u5199<strong>getitem<\/strong>(),<strong>len<\/strong>(),<strong>init<\/strong>()\u65b9\u6cd5<\/li>\n<li>\u5728<strong>getitem<\/strong>()\u65b9\u6cd5\u4e2d:\n<ol>\n<li>\u4f7f\u7528cv2.imread()\u8bfb\u53d6\u56fe\u7247<\/li>\n<li>\u4f7f\u7528cv2.resize()\u8c03\u6574\u56fe\u7247\u5927\u5c0f<\/li>\n<li>\u5c06\u56fe\u50cf\u8f6c\u4e3anumpy\u6570\u7ec4<\/li>\n<li>\u5bf9\u77e9\u9635\u6570\u7ec4\u4e2d\u7684\u6570\u636e\u8fdb\u884c\u5f52\u4e00\u5316\u5904\u7406\uff0c\u89c4\u8303\u5316\u4e3a[-1, 1]<\/li>\n<li>\u4f7f\u7528torch\u5c06\u6570\u636e\u8f6c\u4e3a\u5f20\u91cf<\/li>\n<li>\u5c06\u6570\u636e\u4ece\u56fe\u7247\u6570\u636e\u7684[H(\u9ad8\u5ea6), W(\u5bbd\u5ea6), C(\u901a\u9053\u6570)]\u8f6c\u7ef4\u5ea6\u4e3a[N(\u6279\u91cf\u4e2a\u6570), H(\u9ad8\u5ea6), W(\u5bbd\u5ea6), C(\u901a\u9053\u6570)]<\/li>\n<li>\u5c06\u6807\u7b7e\u8f6c\u4e3a\u6570\u5b57\uff0c\u4f8b\u5982\uff1aG0 -&gt; 0, G1 -&gt; 1, G2 -&gt; 2, &#8230;, G9 -&gt; 9<\/li>\n<li>\u5c06\u6807\u7b7e\u8f6c\u4e3a\u5f20\u91cf<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<pre><code class=\"language-python\">import torch\nfrom torch.utils.data import Dataset\n\nclass GesturesDataset(Dataset):\n    &quot;&quot;&quot;\n    \u81ea\u5b9a\u4e49\u6570\u636e\u96c6\n    &quot;&quot;&quot;\n    def __init__(self, X, y):\n        self.X = X\n        self.y = y\n\n    def __len__(self):\n        return len(self.X)\n\n    def __getitem__(self, idx):\n        img_path = self.X[idx]\n        img_label = self.y[idx]\n\n        # 1,\u8bfb\u53d6\u56fe\u50cf\n        img = cv2.imread(img_path)\n\n        # 2,\u56fe\u50cf\u8f6c\u4e3a32*32\n        img = cv2.resize(img, (32, 32))\n\n        # 3,\u56fe\u50cf\u8f6c\u4e3anumpy\u6570\u7ec4\n        img = np.array(img)\n\n        # 4,\u6570\u636e\u89c4\u8303\u5316\u5230 [-1, 1]\n        img = img \/ 255.0\n        img = (img - 0.5) \/ 0.5\n\n        # 5,\u6570\u636e\u8f6c\u4e3atorch\u5f20\u91cf\n        img = torch.tensor(img, dtype=torch.float32)\n\n        # 6,\u6570\u636e\u8f6c\u7ef4\u5ea6 [H, W, C]\n        img = img.permute(2, 0, 1)\n\n        # 7,\u6807\u7b7e\u8f6c\u4e3a\u6570\u5b57\n        label = label2idx[img_label]\n        label = torch.tensor(label, dtype=torch.long)\n\n        return img, label<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E6%A8%A1%E5%9E%8B%E6%90%AD%E5%BB%BA\"><\/span>\u6a21\u578b\u642d\u5efa<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u672c\u6b21\u6a21\u578b\u4f7f\u7528LeNet\u7f51\u7edc\u7ed3\u6784\uff0c\u76f8\u5173\u7ed3\u6784\u5df2\u5728<a href=\"https:\/\/17aitech.com\/?p=2250#LeNet%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0\">\u300a\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day10\uff1a\u5377\u79ef\u7f51\u7edc\u7684\u57fa\u672c\u7ec4\u4ef6\u300b<\/a>\u9610\u8ff0\uff0c\u672c\u6b21\u8fc7\u7a0b\u4e0d\u518d\u8d58\u8ff0\u3002<\/p>\n<pre><code class=\"language-python\">import torch\nfrom torch import nn\n\nclass ConvBlock(nn.Module):\n    &quot;&quot;&quot;\n        \u4e00\u5c42\u5377\u79ef\uff1a\n            - \u5377\u79ef\u5c42\n            - \u6279\u89c4\u8303\u5316\u5c42\n            - \u6fc0\u6d3b\u5c42\n    &quot;&quot;&quot;\n    def __init__(self, in_channels, out_channels, \n                 kernel_size=3, stride=1, padding=1):\n        super().__init__()\n        self.conv = nn.Conv2d(in_channels=in_channels, out_channels=out_channels,\n                             kernel_size=kernel_size, stride=stride,padding=padding)\n        self.bn = nn.BatchNorm2d(num_features=out_channels)\n        self.relu = nn.ReLU()\n\n    def forward(self, x):\n        x = self.conv(x)\n        x = self.bn(x)\n        x = self.relu(x)\n        return x\n\nclass LeNet(nn.Module):\n    def __init__(self, num_classes=10):\n        super().__init__()\n        # 1, \u7279\u5f81\u62bd\u53d6\u90e8\u5206\n        self.feature_extractor = nn.Sequential(\n            # \u5377\u79ef\u5c421\n            ConvBlock(in_channels=3, \n                      out_channels=6, \n                      kernel_size=5,\n                      stride=1,\n                      padding=0),\n\n            # \u4e9a\u91c7\u6837\uff08\u6c60\u5316\uff09\n            nn.MaxPool2d(kernel_size=2, stride=2, padding=0),\n\n            # \u5377\u79ef\u5c422\n            ConvBlock(in_channels=6, \n                      out_channels=16, \n                      kernel_size=5,\n                      stride=1,\n                      padding=0),\n\n            # \u4e9a\u91c7\u6837\uff08\u6c60\u5316\uff09\n            nn.MaxPool2d(kernel_size=2, stride=2, padding=0),\n\n        )\n\n        # 2, \u5206\u7c7b\n        self.classifier = nn.Sequential(\n            nn.Flatten(),\n            nn.Linear(in_features=400, out_features=120),\n            nn.ReLU(),\n            nn.Linear(in_features=120, out_features=84),\n            nn.ReLU(),\n            nn.Linear(in_features=84, out_features=num_classes)\n        )\n\n    def forward(self, x):\n        # 1, \u63d0\u53d6\u7279\u5f81\n        x = self.feature_extractor(x)\n        # 2\uff0c \u5206\u7c7b\u8f93\u51fa\n        x = self.classifier(x)\n        return x<\/code><\/pre>\n<ul>\n<li>\u5c06\u4ee5\u4e0a\u4ee3\u7801\u5355\u72ec\u5c01\u88c5\u4e3amodel.py\u6587\u4ef6\uff0c\u65b9\u4fbf\u540e\u7eed\u76f4\u63a5import\u3002<\/li>\n<li>\u5728\u4e3b\u7a0b\u5e8f\u4e2d\u4f7f\u7528\u4ee5\u4e0b\u65b9\u5f0f\u76f4\u63a5\u8c03\u7528\u5373\u53ef\uff1a\n<pre><code class=\"language-python\">from models import LeNet\nmodel = LeNet()<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4><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><\/h4>\n<p>\u7531\u4e8e\u8ba1\u7b97\u7684\u6570\u636e\u91cf\u8f83\u5927\uff0c\u6240\u4ee5\u6211\u4eec\u9700\u8981\u501f\u52a9torch\u4ee5\u53caGPU\u6765\u63d0\u5347\u8bad\u7ec3\u901f\u5ea6\u3002<\/p>\n<pre><code class=\"language-python\"># \u68c0\u6d4b\u662f\u5426\u6709\u53ef\u7528\u7684CUDA\u8bbe\u5907\uff0c\u5982\u679c\u6709\u5219\u4f7f\u7528\u7b2c\u4e00\u4e2a\u53ef\u7528\u7684CUDA\u8bbe\u5907\uff0c\u5426\u5219\u4f7f\u7528CPU\ndevice = &quot;cuda:0&quot; if torch.cuda.is_available() else &quot;cpu&quot;\n\n# \u5c06\u6a21\u578b\u79fb\u52a8\u5230\u6307\u5b9a\u7684\u8bbe\u5907\uff08CUDA\u6216CPU\uff09\nmodel.to(device=device)\n\n# \u8bbe\u7f6e\u8bad\u7ec3\u7684\u603b\u8f6e\u6570\nepochs = 80\n\n# \u8bbe\u7f6e\u5b66\u4e60\u7387\nlr = 1e-3\n\n# \u5b9a\u4e49\u635f\u5931\u51fd\u6570\u4e3a\u4ea4\u53c9\u71b5\u635f\u5931\nloss_fn = nn.CrossEntropyLoss()\n\n# \u5b9a\u4e49\u4f18\u5316\u5668\u4e3a\u968f\u673a\u68af\u5ea6\u4e0b\u964d\uff08SGD\uff09\uff0c\u4f20\u5165\u6a21\u578b\u7684\u53c2\u6570\u548c\u5b66\u4e60\u7387\noptimizer = torch.optim.SGD(params=model.parameters(), lr=lr)<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E6%A8%A1%E5%9E%8B%E8%AF%84%E4%BC%B0\"><\/span>\u6a21\u578b\u8bc4\u4f30<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u4e3a\u4e86\u89c2\u5bdf\u8bad\u7ec3\u8fc7\u7a0b\u60c5\u51b5\uff0c\u5b9a\u4e49\u6a21\u578b\u8bc4\u4f30\u51fd\u6570\uff1a<\/p>\n<pre><code class=\"language-python\"># \u51c6\u786e\u7387\u8ba1\u7b97\ndef get_acc(data_loader):\n    accs = []\n    model.eval()\n    with torch.no_grad():\n        for X, y in data_loader:\n            X = X.to(device=device)\n            y = y.to(device=device)\n            y_pred = model(X)\n            y_pred = y_pred.argmax(dim=-1)\n            acc = (y_pred == y).to(torch.float32).mean().item()\n            accs.append(acc)\n    final_acc = round(number=sum(accs) \/ len(accs), ndigits=5)\n    return final_acc<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%9E%E7%8E%B0%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\"><\/span>\u5b9e\u73b0\u8bad\u7ec3\u8fc7\u7a0b<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\"># \u8bad\u7ec3\u8fc7\u7a0b\ndef train():\n\n    train_accs = []\n    test_accs = []\n    cur_test_acc = 0\n\n    # 1\uff0c\u8bad\u7ec3\u4e4b\u524d\uff0c\u68c0\u6d4b\u4e00\u4e0b\u51c6\u786e\u7387\n    train_acc = get_acc(data_loader=train_dataloader)\n    test_acc = get_acc(data_loader=test_dataloader)\n    train_accs.append(train_acc)\n    test_accs.append(test_acc)\n\n    print(f&quot;\u8bad\u7ec3\u4e4b\u524d\uff1atrain_acc: {train_acc},test_acc: {test_acc}&quot;)\n\n    # \u6bcf\u4e00\u8f6e\u6b21\n    for epoch in range(epochs):\n        # \u6a21\u578b\u8bbe\u7f6e\u4e3a train \u6a21\u5f0f\n        model.train()\n        # \u8ba1\u65f6\n        start_train = time.time()\n        # \u6bcf\u4e00\u6279\u91cf\n        for X, y in train_dataloader:\n            # \u6570\u636e\u642c\u5bb6\n            X = X.to(device=device)\n            y = y.to(device=device)\n            # 1\uff0c\u6b63\u5411\u4f20\u64ad\n            y_pred = model(X)\n            # 2\uff0c\u8ba1\u7b97\u635f\u5931\n            loss = loss_fn(y_pred, y)\n            # 3\uff0c\u53cd\u5411\u4f20\u64ad\n            loss.backward()\n            # 4\uff0c\u4f18\u5316\u4e00\u6b65\n            optimizer.step()\n            # 5\uff0c\u6e05\u7a7a\u68af\u5ea6\n            optimizer.zero_grad()\n        # \u8ba1\u65f6\u7ed3\u675f\n        stop_train = time.time()\n        # \u6d4b\u8bd5\u51c6\u786e\u7387\n        train_acc = get_acc(data_loader=train_dataloader)\n        test_acc = get_acc(data_loader=test_dataloader)\n        train_accs.append(train_acc)\n        test_accs.append(test_acc)\n        # \u4fdd\u5b58\u6a21\u578b\n        if cur_test_acc &lt; test_acc:\n            cur_test_acc = test_acc\n            # \u4fdd\u5b58\u6700\u597d\u6a21\u578b\n            torch.save(obj=model.state_dict(), f=&quot;lenet_best.pt&quot;)\n        # \u4fdd\u5b58\u6700\u540e\u6a21\u578b\n        torch.save(obj=model.state_dict(), f=&quot;lenet_last.pt&quot;) \n\n        # \u683c\u5f0f\u5316\u8f93\u51fa\u65e5\u5fd7\n        print(f&quot;&quot;&quot;\n        \u5f53\u524d\u662f\u7b2c {epoch + 1} \u8f6e\uff1a\n        ------------------------------------------------------------\n        | \u8bad\u7ec3\u51c6\u786e\u7387 (train_acc) | \u6d4b\u8bd5\u51c6\u786e\u7387 (test_acc) | \u8fd0\u884c\u65f6\u95f4 (elapsed_time) |\n        ------------------------------------------------------------\n        | {train_acc:&lt;18} | {test_acc:&lt;17} | {round(number=stop_train - start_train, ndigits=3)} \u79d2    |\n        ------------------------------------------------------------\n        &quot;&quot;&quot;)\n    return train_accs, test_accs<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E5%BC%80%E5%A7%8B%E8%AE%AD%E7%BB%83\"><\/span>\u5f00\u59cb\u8bad\u7ec3<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">train_accs, test_accs = train()<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E5%9B%BE%E5%BD%A2%E5%8C%96%E7%9B%91%E6%8E%A7%E6%95%B0%E6%8D%AE\"><\/span>\u56fe\u5f62\u5316\u76d1\u63a7\u6570\u636e<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">plt.plot(train_accs, label=&quot;train_acc&quot;)\nplt.plot(test_accs, label=&quot;train_acc&quot;)\nplt.legend()\nplt.grid()\nplt.xlabel(xlabel=&#039;epoch&#039;)\nplt.ylabel(ylabel=&quot;acc&quot;)\nplt.title(label=&quot;LeNet Training Process&quot;)<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8fd0\u884c\u622a\u56fe1.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8fd0\u884c\u622a\u56fe1.png\" alt=\"\" \/><\/a><br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8fd0\u884c\u66f2\u7ebf.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8fd0\u884c\u66f2\u7ebf.png\" alt=\"\" \/><\/a><\/p>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6267\u884c\u8fc7\u7a0b\u53ef\u4ee5\u770b\u5230\uff0c\u7ecf\u8fc780\u8f6e\u8bad\u7ec3\u540e\uff0cLeNet\u6a21\u578b\u5728\u8bad\u7ec3\u96c6\u4e0a\u7684\u51c6\u786e\u7387\u8fbe\u523099%\uff0c\u5728\u6d4b\u8bd5\u96c6\u4e0a\u7684\u51c6\u786e\u7387\u8fbe\u523094%\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E6%A8%A1%E5%9E%8B%E9%A2%84%E6%B5%8B\"><\/span>\u6a21\u578b\u9884\u6d4b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528streamlit\u5b9e\u73b0\u4e00\u4e2a\u524d\u7aef\u9875\u9762\uff0c\u7528\u6237\u5728\u9875\u9762\u4e0a\u8f93\u5165\u56fe\u7247\uff0c\u6a21\u578b\u4f1a\u81ea\u52a8\u8bc6\u522b\u56fe\u7247\u4e2d\u7684\u624b\u52bf\u3002<\/p>\n<p>\u6574\u4f53\u5b9e\u73b0\u6d41\u7a0b\uff1a<\/p>\n<ol>\n<li>\u521b\u5efa\u4e00\u4e2astreamlit\u5e94\u7528\uff0c\u5e76\u5bfc\u5165\u76f8\u5173\u4f9d\u8d56\u3002<\/li>\n<li>\u663e\u793a\u5f53\u524d\u8bbe\u5907\u662fGPU\u8bbe\u5907\u8fd8\u662fCPU<\/li>\n<li>\u52a0\u8f7d\u6a21\u578b<\/li>\n<li>\u4f7f\u7528streamlit.file_uploader\u663e\u793a\u4e0a\u4f20\u56fe\u7247\u63a7\u4ef6<\/li>\n<li>\u4f7f\u7528streamlit.image\u663e\u793a\u4e0a\u4f20\u7684\u56fe\u7247<\/li>\n<li>\u4f7f\u7528\u52a0\u8f7d\u7684\u6a21\u578b\u8fdb\u884c\u9884\u6d4b<br \/>\n6.1 \u8bfb\u53d6\u56fe\u50cf<br \/>\n6.2 \u56fe\u50cf\u9884\u5904\u7406<br \/>\n6.3 \u56fe\u5f62\u8f6c\u4e3a\u5f20\u91cf<br \/>\n6.4 \u8f6c\u6362\u56fe\u5f62\u7684\u7ef4\u5ea6\u4e3a[C, H, W]<br \/>\n6.5 \u65b0\u5efa\u4e00\u4e2a\u6279\u91cf\u7ef4\u5ea6[N, C, H, W]<br \/>\n6.6 \u6570\u636e\u642c\u5bb6<br \/>\n6.7 \u6a21\u578b\u8bbe\u4e3a\u8bc4\u4f30\u6a21\u5f0f<br \/>\n6.8 \u6a21\u578b\u9884\u6d4b<br \/>\n6.9 \u9884\u6d4b\u7ed3\u679c\u8f6c\u4e3a\u6807\u7b7e 0 \u2192 G0, 1 \u2192 G1, 2 \u2192 G2, 3 \u2192 G3, 4 \u2192 G4, 5 \u2192 G5<br \/>\n6.10 \u8fd4\u56de\u6807\u7b7e\u7ed3\u679c<\/li>\n<\/ol>\n<pre><code class=\"language-python\">import streamlit\nimport torch\nimport os\nimport numpy as np\nfrom PIL import Image\nfrom models import LeNet\n\n# \u751f\u6210idx2label\u5b57\u5178\uff0c\u7528\u4e8e\u663e\u793a\u9884\u6d4b\u7ed3\u679c\nidx2label = {\n    0: &#039;G0&#039;, \n    1: &#039;G1&#039;, \n    2: &#039;G2&#039;, \n    3: &#039;G3&#039;, \n    4: &#039;G4&#039;, \n    5: &#039;G5&#039;, \n    6: &#039;G6&#039;, \n    7: &#039;G7&#039;, \n    8: &#039;G8&#039;, \n    9: &#039;G9&#039;\n}\n\ndef infer(img_path, model, device, idx2label):\n    &quot;&quot;&quot;\n        \u8f93\u5165\uff1a\u56fe\u50cf\u5730\u5740\n        \u8f93\u51fa\uff1a\u9884\u6d4b\u7c7b\u522b\n    &quot;&quot;&quot;\n    # 1\uff0c\u8bfb\u53d6\u56fe\u50cf\n    if not os.path.exists(img_path):\n        raise FileNotFoundError(&quot;\u6587\u4ef6\u6ca1\u627e\u5230&quot;)\n\n    # 2, \u5224\u65ad\u5f53\u524d\u5c40\u90e8\u53d8\u91cf\u4e2d\u662f\u5426\u6709model\n    # if &quot;m1&quot; not in globals() or not isinstance(globals()[&quot;m1&quot;], LeNet):\n    #     raise ValueError(&quot;m1\u6a21\u578b\u4e0d\u5b58\u5728&quot;)\n\n    # 3\uff0c\u8bfb\u53d6\u56fe\u50cf\n    img = Image.open(fp=img_path)\n\n    # 4\uff0c\u9884\u5904\u7406\n    img = img.resize((32, 32))\n    img = np.array(img)\n    img = img \/ 255\n    img = (img - 0.5) \/ 0.5\n\n    # 5, \u8f6c\u5f20\u91cf\n    img = torch.tensor(data=img, dtype=torch.float32)\n\n    # 6, \u8f6c\u6362\u7ef4\u5ea6\n    img = img.permute(dims=(2, 0, 1))\n\n    # 7, \u65b0\u589e\u4e00\u4e2a\u6279\u91cf\u7ef4\u5ea6\n    img = img.unsqueeze(dim=0)\n\n    # 8\uff0c\u6570\u636e\u642c\u5bb6\n    img = img.to(device=device)\n\n    # 9\uff0c\u6a21\u578b\u8bbe\u4e3a\u8bc4\u4f30\u6a21\u5f0f\n    model.eval()\n\n    # 10\uff0c\u65e0\u68af\u5ea6\u73af\u5883\n    with torch.no_grad():\n        # 11\uff0c\u6b63\u5411\u4f20\u64ad\n        y_pred = m1(img)\n\n        # 12, \u89e3\u6790\u7ed3\u679c\n        y_pred = y_pred.argmax(dim=-1).item()\n\n        # 13\uff0c\u6807\u7b7e\u8f6c\u6362\n        label = idx2label.get(y_pred)\n\n        # 14, \u8fd4\u56de\u7ed3\u679c\n        return label\n\nif __name__ == &quot;__main__&quot;:\n    # 1, \u663e\u793a\u5f53\u524d\u8bbe\u5907\u662fGPU\u8bbe\u5907\u8fd8\u662fCPU\n    # \u68c0\u6d4b\u8bbe\u5907\n    device = &quot;cuda&quot; if torch.cuda.is_available() else &quot;cpu&quot;\n    streamlit.write(f&quot;\u5f53\u524d\u8bbe\u5907\u662f{device}\u8bbe\u5907&quot;)\n\n    # 2, \u52a0\u8f7d\u6a21\u578b\n    m1 = LeNet()\n    m1.to(device=device)\n    # \u52a0\u8f7d\u6743\u91cd\n    m1.load_state_dict(state_dict=torch.load(f=&quot;lenet_best.pt&quot;, map_location=device),\n                    strict=False)\n    if not isinstance(m1, LeNet):\n        raise ValueError(&quot;\u6a21\u578b\u52a0\u8f7d\u5931\u8d25&quot;)\n\n    # 3, \u4e0a\u4f20\u4e00\u5f20\u56fe\u7247\n    img_path = streamlit.file_uploader(label=&quot;\u4e0a\u4f20\u4e00\u5f20\u56fe\u7247&quot;, type=[&quot;png&quot;, &quot;jpg&quot;, &quot;jpeg&quot;])\n    # 3.1, \u5c06\u4e0a\u4f20\u7684\u56fe\u50cf\u6587\u4ef6\u4fdd\u5b58\u5230\u4e34\u65f6\u6587\u4ef6\n    if img_path:\n        with open(file=&quot;temp_img.jpg&quot;, mode=&quot;wb&quot;) as f:\n            f.write(img_path.getvalue())\n        img_path = &quot;temp_img.jpg&quot;\n    # 4, \u663e\u793a\u4e0a\u4f20\u7684\u56fe\u7247\n    if img_path:\n        img = Image.open(fp=img_path)\n        streamlit.image(image=img, caption=&quot;\u4e0a\u4f20\u7684\u56fe\u7247&quot;, use_column_width=True)\n\n    # 5, \u52a0\u8f7d\u672c\u5730\u7684lenet_best.pt\u6a21\u578b\n    if img_path:\n        label = infer(img_path=img_path, model=m1, device=device, idx2label=idx2label)\n        streamlit.write(f&quot;\u9884\u6d4b\u7ed3\u679c\u662f{label}&quot;)<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u624b\u52bf\u9884\u6d4b\u7ed3\u679c1.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u624b\u52bf\u9884\u6d4b\u7ed3\u679c1.png\" alt=\"\" \/><\/a><\/p>\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>\u56de\u987e\u6df1\u5ea6\u5b66\u4e60\u7684\u6574\u4f53\u6d41\u7a0b\uff0c\u4ecd\u7136\u662f\uff1a\u6570\u636e\u9884\u5904\u7406\u2192\u6279\u91cf\u5316\u6253\u5305\u6570\u636e\u2192\u6a21\u578b\u642d\u5efa\u2192\u8bad\u7ec3\u6a21\u578b\u2192\u6a21\u578b\u8bc4\u4f30\u2192\u6a21\u578b\u9884\u6d4b<\/li>\n<li>\u56fe\u7247\u6570\u636e\u9884\u5904\u7406\u65f6\uff0c\u6279\u91cf\u5316\u6253\u5305\u6570\u636e\u9700\u8981\u6784\u9020\u4e3a[N, C, H, W]\u7684\u683c\u5f0f<\/li>\n<li>\u9884\u5904\u7406\u7684\u8fc7\u7a0b\u5927\u81f4\u4e3a\uff1a\u8bfb\u53d6\u56fe\u7247\u2192\u8c03\u6574\u56fe\u7247\u5927\u5c0f\u2192\u8f6c\u4e3anumpy\u6570\u7ec4\u2192\u5f52\u4e00\u5316\u2192\u8f6c\u4e3a\u5f20\u91cf\u2192\u8c03\u6574\u7ef4\u5ea6\u2192\u6807\u7b7e\u8f6c\u4e3a\u6570\u5b57\u2192\u8f6c\u4e3a\u5f20\u91cf\uff0c\u8be5\u8fc7\u7a0b\u9700\u8981\u5728\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u7684<strong>getitem<\/strong>\u51fd\u6570\u4e2d\u5b8c\u6210<\/li>\n<li>\u6a21\u578b\u6784\u5efa\u4f7f\u7528\u7684\u662fLeNet\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u5b9a\u4e49\u53ef\u4ee5\u5355\u72ec\u5728models.py\u4e2d\u5b9e\u73b0\uff0c\u8bad\u7ec3\u4ee3\u7801\u4e2d\u76f4\u63a5import\u5f15\u7528\u5373\u53ef<\/li>\n<li>\u8bad\u7ec3\u8fc7\u7a0b\u4ee5\u53ca\u8bad\u7ec3\u65f6\u7684\u76d1\u63a7\u8fc7\u7a0b\uff0c\u4e0e\u524d\u4e24\u7ae0\u5b66\u4e60\u7684\u6df1\u5ea6\u5b66\u4e60\u8bad\u7ec3\u8fc7\u7a0b\u662f\u4e00\u6837\u7684<\/li>\n<\/ul>\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 \u4e0a\u4e00\u7ae0\u5185\u5bb9\u6211\u4eec\u521d\u6b65\u4e86\u89e3\u4e86\u5377\u79ef\u3001\u5377\u79ef [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2298,"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":[65,66],"class_list":["post-2293","post","type-post","status-publish","format-aside","has-post-thumbnail","hentry","category-blog","tag-65","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\u3011Day11\uff08\u4e0a\uff09\uff1a\u624b\u52bf\u56fe\u50cf\u8bc6\u522b\u5b9e\u6218(LeNet\u6a21\u578b) - \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=2293\" \/>\n<script type=\"application\/ld+json\" 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