{"id":29892,"date":"2024-10-28T03:18:31","date_gmt":"2024-10-28T03:18:31","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29892"},"modified":"2024-11-26T06:50:56","modified_gmt":"2024-11-26T06:50:56","slug":"%eb%94%a5%eb%9f%ac%eb%8b%9d-%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98-%ea%b0%95%ec%a2%8c-alexnet","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29892\/","title":{"rendered":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, AlexNet"},"content":{"rendered":"<p><body><\/p>\n<p>\ub525\ub7ec\ub2dd\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5(AI) \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub9ce\uc740 \uc8fc\ubaa9\uc744 \ubc1b\ub294 \uae30\uc220 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ud2b9\ud788, \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c\ub294 \ub525\ub7ec\ub2dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 AlexNet\uc740 2012\ub144 ImageNet \ub300\ud68c\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\uc801\uc744 \uac70\ub450\uba70 \ub525\ub7ec\ub2dd\uc758 \ub300\uc911\ud654\ub97c \uc774\ub04c\uc5c8\ub358 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774\ub294 \ub9e4\uc6b0 \uae4a\uc740 \uc2e0\uacbd\ub9dd \uad6c\uc870\ub85c, \uc5ec\ub7ec \uac1c\uc758 \ucee8\ubcfc\ub8e8\uc158 \ub808\uc774\uc5b4\uc640 \ud480\ub9c1 \ub808\uc774\uc5b4\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. AlexNet \uad6c\uc870 \uc18c\uac1c<\/h2>\n<p>AlexNet\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc785\ub825 \ub808\uc774\uc5b4:<\/strong> 224&#215;224 \ud06c\uae30\uc758 \uceec\ub7ec \uc774\ubbf8\uc9c0<\/li>\n<li><strong>1\uce35: Convolutional Layer:<\/strong> 96\uac1c\uc758 \ud544\ud130 \uc0ac\uc6a9, \ud544\ud130 \ud06c\uae30 11&#215;11, \uc2a4\ud2b8\ub77c\uc774\ub4dc 4<\/li>\n<li><strong>2\uce35: Max Pooling Layer:<\/strong> 3&#215;3 \ucd5c\ub300 \ud480\ub9c1, \uc2a4\ud2b8\ub77c\uc774\ub4dc 2<\/li>\n<li><strong>3\uce35: Convolutional Layer:<\/strong> 256\uac1c\uc758 \ud544\ud130 \uc0ac\uc6a9, \ud544\ud130 \ud06c\uae30 5&#215;5<\/li>\n<li><strong>4\uce35: Max Pooling Layer:<\/strong> 3&#215;3 \ucd5c\ub300 \ud480\ub9c1, \uc2a4\ud2b8\ub77c\uc774\ub4dc 2<\/li>\n<li><strong>5\uce35: Convolutional Layer:<\/strong> 384\uac1c\uc758 \ud544\ud130 \uc0ac\uc6a9, \ud544\ud130 \ud06c\uae30 3&#215;3<\/li>\n<li><strong>6\uce35: Convolutional Layer:<\/strong> 384\uac1c\uc758 \ud544\ud130 \uc0ac\uc6a9, \ud544\ud130 \ud06c\uae30 3&#215;3<\/li>\n<li><strong>7\uce35: Convolutional Layer:<\/strong> 256\uac1c\uc758 \ud544\ud130 \uc0ac\uc6a9, \ud544\ud130 \ud06c\uae30 3&#215;3<\/li>\n<li><strong>8\uce35: Max Pooling Layer:<\/strong> 3&#215;3 \ucd5c\ub300 \ud480\ub9c1, \uc2a4\ud2b8\ub77c\uc774\ub4dc 2<\/li>\n<li><strong>9\uce35: Fully Connected Layer:<\/strong> 4096 \ub274\ub7f0<\/li>\n<li><strong>10\uce35: Fully Connected Layer:<\/strong> 4096 \ub274\ub7f0<\/li>\n<li><strong>11\uce35: Output Layer:<\/strong> 1000\uac1c\uc758 \ud074\ub798\uc2a4\uc5d0 \ub300\ud55c Softmax \ucd9c\ub825<\/li>\n<\/ul>\n<h2>2. AlexNet\uc758 \uc791\ub3d9 \uc6d0\ub9ac<\/h2>\n<p>AlexNet\uc758 \uae30\ubcf8 \uc544\uc774\ub514\uc5b4\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\uace0, \uc774\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ubd84\ub958\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \ucd08\uae30 \ub2e8\uacc4\uc5d0\uc11c \uc774\ubbf8\uc9c0\uc758 \uace0\uc218\uc900 \ud2b9\uc9d5\uc744 \ud559\uc2b5\ud558\uace0, \uc774\ud6c4 \ub2e8\uacc4\uc5d0\uc11c \uc774\ub97c \uc870\ud569\ud558\uc5ec \ub354 \ubcf5\uc7a1\ud55c \uac1c\ub150\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \uac01 Convolutional Layer\ub294 \uc785\ub825 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ud544\ud130\ub97c \ud1b5\ud574 \ud2b9\uc9d5 \ub9f5\uc744 \uc0dd\uc131\ud558\uace0, Max Pooling Layer\ub294 \uc774\ub7ec\ud55c \ud2b9\uc9d5\uc744 \ub2e4\uc6b4\uc0d8\ud50c\ub9c1\ud558\uc5ec \uacc4\uc0b0\ub7c9\uc744 \uc904\uc785\ub2c8\ub2e4.<\/p>\n<h2>3. PyTorch\ub85c AlexNet \uad6c\ud604\ud558\uae30<\/h2>\n<p>\uc774\uc81c PyTorch\ub97c \uc0ac\uc6a9\ud558\uc5ec AlexNet \ubaa8\ub378\uc744 \uad6c\ud604\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. PyTorch\ub294 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ud604\ud558\ub294 \ub370 \ub9e4\uc6b0 \uc720\uc6a9\ud55c \ud504\ub808\uc784\uc6cc\ud06c\ub85c, \uc720\uc5f0\ud558\uace0 \uc9c1\uad00\uc801\uc778 API\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<h3>3.1 \ud328\ud0a4\uc9c0 \ubd88\ub7ec\uc624\uae30<\/h3>\n<p>PyTorch\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \ubd88\ub7ec\uc635\ub2c8\ub2e4.<\/p>\n<pre><code>python\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom torch.utils.data import DataLoader\n    <\/code><\/pre>\n<h3>3.2 AlexNet \ubaa8\ub378 \uc815\uc758\ud558\uae30<\/h3>\n<p>\uc774\uc81c AlexNet \uc544\ud0a4\ud14d\ucc98\ub97c \uc815\uc758\ud569\ub2c8\ub2e4. \uac01 \ub808\uc774\uc5b4\ub97c nn.Module \ud074\ub798\uc2a4\ub97c \uc0c1\uc18d\ubc1b\uc740 \ud074\ub798\uc2a4\ub85c \uad6c\ud604\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>python\nclass AlexNet(nn.Module):\n    def __init__(self, num_classes=1000):\n        super(AlexNet, self).__init__()\n        self.features = nn.Sequential(\n            nn.Conv2d(3, 96, kernel_size=11, stride=4, padding=0),\n            nn.ReLU(inplace=True),\n            nn.MaxPool2d(kernel_size=3, stride=2),\n            nn.Conv2d(96, 256, kernel_size=5, padding=2),\n            nn.ReLU(inplace=True),\n            nn.MaxPool2d(kernel_size=3, stride=2),\n            nn.Conv2d(256, 384, kernel_size=3, padding=1),\n            nn.ReLU(inplace=True),\n            nn.Conv2d(384, 384, kernel_size=3, padding=1),\n            nn.ReLU(inplace=True),\n            nn.Conv2d(384, 256, kernel_size=3, padding=1),\n            nn.ReLU(inplace=True),\n            nn.MaxPool2d(kernel_size=3, stride=2),\n        )\n        self.classifier = nn.Sequential(\n            nn.Dropout(),\n            nn.Linear(256 * 6 * 6, 4096),\n            nn.ReLU(inplace=True),\n            nn.Dropout(),\n            nn.Linear(4096, 4096),\n            nn.ReLU(inplace=True),\n            nn.Linear(4096, num_classes),\n        )\n\n    def forward(self, x):\n        x = self.features(x)\n        x = torch.flatten(x, 1)\n        x = self.classifier(x)\n        return x\n    <\/code><\/pre>\n<h3>3.3 \ub370\uc774\ud130\uc14b \uc900\ube44\ud558\uae30<\/h3>\n<p>\ubaa8\ub378 \ud559\uc2b5\uc744 \uc704\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud569\ub2c8\ub2e4. CIFAR-10\uc774\ub098 ImageNet\uacfc \uac19\uc740 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 CIFAR-10\uc744 \uc608\ub85c \ub4e4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>python\ntransform = transforms.Compose([\n    transforms.Resize((224, 224)),\n    transforms.ToTensor(),\n    transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))\n])\n\ntrain_dataset = datasets.CIFAR10(root='.\/data', train=True, download=True, transform=transform)\ntrain_loader = DataLoader(dataset=train_dataset, batch_size=32, shuffle=True)\n    <\/code><\/pre>\n<h3>3.4 \ubaa8\ub378 \ud559\uc2b5\ud558\uae30<\/h3>\n<p>\ubaa8\ub378 \ud559\uc2b5\uc744 \uc704\ud55c \uc190\uc2e4 \ud568\uc218\uc640 \uc635\ud2f0\ub9c8\uc774\uc800\ub97c \uc815\uc758\ud558\uace0, \ud559\uc2b5 \uacfc\uc815\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>python\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nmodel = AlexNet(num_classes=10).to(device)\ncriterion = nn.CrossEntropyLoss()\noptimizer = optim.Adam(model.parameters(), lr=0.001)\n\nfor epoch in range(10):  # 10 \uc5d0\ud3ed \ub3d9\uc548 \ud559\uc2b5\n    model.train()\n    for images, labels in train_loader:\n        images, labels = images.to(device), labels.to(device)\n        \n        optimizer.zero_grad()\n        outputs = model(images)\n        loss = criterion(outputs, labels)\n        loss.backward()\n        optimizer.step()\n        \n    print(f'Epoch [{epoch+1}\/10], Loss: {loss.item():.4f}')\n    <\/code><\/pre>\n<h2>4. \uacb0\ub860<\/h2>\n<p>AlexNet\uc740 \ub2e8\uc21c\ud55c \ubaa8\ub378\uc774\uc9c0\ub9cc, \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud588\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130\uc14b\uc744 \ud1b5\ud574 \uae4a\uc774 \uc788\ub294 \ud559\uc2b5\uc774 \uac00\ub2a5\ud558\ub2e4\ub294 \uac83\uc744 \ubcf4\uc5ec\uc8fc\uc5c8\uace0, \uc774\ud6c4 \ubc1c\uc804\ub41c \ub9ce\uc740 \ubaa8\ub378\ub4e4\uc758 \uae30\ucd08\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub97c \ud1b5\ud574 AlexNet\uc758 \uad6c\uc870\uc640 PyTorch\ub97c \uc0ac\uc6a9\ud55c \uac04\ub2e8\ud55c \uad6c\ud604 \uc608\uc81c\ub97c \uc0b4\ud3b4\ubd24\uc2b5\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uc758 \uae38\uc740 \uba40\uc9c0\ub9cc, \uae30\ubcf8 \uac1c\ub150\uc744 \uc798 \uc774\ud574\ud558\uace0 \ub098\uc544\uac04\ub2e4\uba74 \ub354 \ubcf5\uc7a1\ud55c \ubaa8\ub378\ub3c4 \uc27d\uac8c \uc774\ud574\ud560 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h2>5. \ucc38\uc870 \ubb38\ud5cc<\/h2>\n<ul>\n<li>AlexNet paper: <a href=\"https:\/\/www.cs.toronto.edu\/~kriz\/imagenet\/2012\/DeepLearningDataSets.pdf\">ImageNet Classification with Deep Convolutional Neural Networks<\/a><\/li>\n<li>PyTorch Documentation: <a href=\"https:\/\/pytorch.org\/docs\/stable\/index.html\">PyTorch Documentation<\/a><\/li>\n<\/ul>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub525\ub7ec\ub2dd\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5(AI) \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub9ce\uc740 \uc8fc\ubaa9\uc744 \ubc1b\ub294 \uae30\uc220 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ud2b9\ud788, \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c\ub294 \ub525\ub7ec\ub2dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 AlexNet\uc740 2012\ub144 ImageNet \ub300\ud68c\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\uc801\uc744 \uac70\ub450\uba70 \ub525\ub7ec\ub2dd\uc758 \ub300\uc911\ud654\ub97c \uc774\ub04c\uc5c8\ub358 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774\ub294 \ub9e4\uc6b0 \uae4a\uc740 \uc2e0\uacbd\ub9dd \uad6c\uc870\ub85c, \uc5ec\ub7ec \uac1c\uc758 \ucee8\ubcfc\ub8e8\uc158 \ub808\uc774\uc5b4\uc640 \ud480\ub9c1 \ub808\uc774\uc5b4\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. 1. AlexNet \uad6c\uc870 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/29892\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, AlexNet&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[33],"tags":[],"class_list":["post-29892","post","type-post","status-publish","format-standard","hentry","category-33"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, AlexNet - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/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:\/\/atmokpo.com\/w\/29892\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, AlexNet - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5(AI) \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub9ce\uc740 \uc8fc\ubaa9\uc744 \ubc1b\ub294 \uae30\uc220 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ud2b9\ud788, \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c\ub294 \ub525\ub7ec\ub2dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 AlexNet\uc740 2012\ub144 ImageNet \ub300\ud68c\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\uc801\uc744 \uac70\ub450\uba70 \ub525\ub7ec\ub2dd\uc758 \ub300\uc911\ud654\ub97c \uc774\ub04c\uc5c8\ub358 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774\ub294 \ub9e4\uc6b0 \uae4a\uc740 \uc2e0\uacbd\ub9dd \uad6c\uc870\ub85c, \uc5ec\ub7ec \uac1c\uc758 \ucee8\ubcfc\ub8e8\uc158 \ub808\uc774\uc5b4\uc640 \ud480\ub9c1 \ub808\uc774\uc5b4\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. 1. 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