{"id":29851,"date":"2024-10-28T03:00:33","date_gmt":"2024-10-28T03:00:33","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29851"},"modified":"2024-11-26T06:51:07","modified_gmt":"2024-11-26T06:51:07","slug":"%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98%eb%a5%bc-%ed%99%9c%ec%9a%a9%ed%95%9c-gan-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%a0%eb%8b%88%eb%a9%80%ea%b0%84","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29851\/","title":{"rendered":"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04"},"content":{"rendered":"

<\/p>\n

1. \uc11c\ub860<\/h2>\n

\n Generative Adversarial Networks (GANs)\ub294 \ub450 \uac1c\uc758 \uc2e0\uacbd\ub9dd, \uc989 \uc0dd\uc131\uc790(Generator)\uc640 \ud310\ubcc4\uc790(Discriminator)\uac00 \uc11c\ub85c \ub300\ub9bd\ud558\uba74\uc11c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \uc774\ubbf8\uc9c0 \uc0dd\uc131, \ubcc0\ud658 \ubc0f \uc2a4\ud0c0\uc77c \uc804\uc774\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \uc9c4\ubcf4\ub41c \ub525\ub7ec\ub2dd \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 PyTorch\ub97c \ud65c\uc6a9\ud55c GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac\uc640 \uc774\ub97c \ud1b5\ud574 \ub3d9\ubb3c \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\ub294 \uc560\ub2c8\uba40\uac04(AnimalGAN)\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n

2. GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac<\/h2>\n

\n GAN\uc740 \uc8fc\ub85c \ub450 \uac1c\uc758 \uc2e0\uacbd\ub9dd\uc73c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4. \uc0dd\uc131\uc790\ub294 \ubb34\uc791\uc704 \ub178\uc774\uc988 \ubca1\ud130\ub97c \uc785\ub825 \ubc1b\uc544 \uac00\uc9dc \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\uace0, \ud310\ubcc4\uc790\ub294 \uc9c4\uc9dc \uc774\ubbf8\uc9c0\uc640 \uc0dd\uc131\ub41c \uac00\uc9dc \uc774\ubbf8\uc9c0\ub97c \uad6c\ubd84\ud569\ub2c8\ub2e4. \ub450 \uc2e0\uacbd\ub9dd\uc740 \uc11c\ub85c\uc758 \ud559\uc2b5\uc744 \ubc29\ud574\ud558\uba74\uc11c \ucd5c\uc801\ud654\ub429\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \uac8c\uc784 \uc774\ub860\uc5d0\uc11c\uc758 ‘\uc81c\ub85c\uc12c \uac8c\uc784’\uacfc \ube44\uc2b7\ud569\ub2c8\ub2e4. \uc0dd\uc131\uc790\ub294 \ud310\ubcc4\uc790\uac00 \ubcf4\uc9c0 \ubabb\ud558\uac8c \ub9cc\ub4e4\uae30 \uc704\ud574 \uacc4\uc18d\ud574\uc11c \uac1c\uc120\ud558\uace0, \ud310\ubcc4\uc790\ub294 \uc0dd\uc131\uc790\uac00 \ub9cc\ub4e0 \uc774\ubbf8\uc9c0\uc758 \uc9c4\uc704\ub97c \ud310\ub2e8\ud558\ub294 \ub370 \ud5a5\uc0c1\ub429\ub2c8\ub2e4.\n <\/p>\n

2.1 GAN\uc758 \ud559\uc2b5 \uacfc\uc815<\/h3>\n

\n \ud559\uc2b5 \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\ub85c \uc9c4\ud589\ub429\ub2c8\ub2e4:<\/p>\n

    \n
  1. \uc9c4\uc9dc \ub370\uc774\ud130\ub85c \ud310\ubcc4\uc790\ub97c \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4.<\/li>\n
  2. \ubb34\uc791\uc704 \ub178\uc774\uc988\ub97c \uc0dd\uc131\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc0dd\uc131\uc790\ub97c \ud1b5\ud574 \uac00\uc9dc \uc774\ubbf8\uc9c0\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/li>\n
  3. \uac00\uc9dc \uc774\ubbf8\uc9c0\ub85c \ub610\ub2e4\uc2dc \ud310\ubcc4\uc790\ub97c \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4.<\/li>\n
  4. \uc704 \uacfc\uc815\uc744 \ubc18\ubcf5\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n

    3. PyTorch\ub97c \uc774\uc6a9\ud55c GAN \uad6c\ud604<\/h2>\n

    \n \uc774\uc81c PyTorch\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud55c GAN\uc744 \uad6c\ud604\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc804\uccb4 \ud504\ub85c\uc138\uc2a4\ub294 \uc900\ube44 \ub2e8\uacc4, \ubaa8\ub378 \uad6c\ud604, \ud559\uc2b5, \uc0dd\uc131\ub41c \uc774\ubbf8\uc9c0 \uc2dc\uac01\ud654\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n

    3.1 \ud658\uacbd \uc124\uc815<\/h3>\n
    python\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport torchvision.transforms as transforms\nfrom torchvision import datasets\nfrom torch.utils.data import DataLoader\nimport matplotlib.pyplot as plt\nimport numpy as np\n    <\/code><\/pre>\n
    3.2 \ub370\uc774\ud130\uc14b \uc900\ube44<\/h3>\n
    \n        \uc560\ub2c8\uba40\uac04 \ud504\ub85c\uc81d\ud2b8\uc5d0\uc11c\ub294 CIFAR-10 \ub610\ub294 \ub3d9\ubb3c \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 CIFAR-10 \ub370\uc774\ud130\uc14b\uc744 \ub85c\ub4dc\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n    <\/p>\n
    python\ntransform = transforms.Compose([\n    transforms.Resize(64),\n    transforms.ToTensor(),\n    transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),\n])\n\n# CIFAR-10 \ub370\uc774\ud130\uc14b \ub85c\ub4dc\ndataset = datasets.CIFAR10(root='.\/data', train=True, download=True, transform=transform)\ndataloader = DataLoader(dataset, batch_size=128, shuffle=True)\n    <\/code><\/pre>\n
    3.3 GAN \ubaa8\ub378 \uad6c\ud604<\/h3>\n
    \n        GAN \ubaa8\ub378\uc740 \uc0dd\uc131\uc790\uc640 \ud310\ubcc4\uc790\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4. \uc0dd\uc131\uc790\ub294 \ub178\uc774\uc988 \ubca1\ud130\ub97c \uc785\ub825 \ubc1b\uace0 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\uace0, \ud310\ubcc4\uc790\ub294 \uc774\ubbf8\uc9c0\uac00 \uc9c4\uc9dc\uc778\uc9c0 \uac00\uc9dc\uc778\uc9c0 \ud310\ubcc4\ud558\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.\n    <\/p>\n
    python\nclass Generator(nn.Module):\n    def __init__(self):\n        super(Generator, self).__init__()\n        self.model = nn.Sequential(\n            nn.Linear(100, 256),\n            nn.ReLU(True),\n            nn.Linear(256, 512),\n            nn.ReLU(True),\n            nn.Linear(512, 1024),\n            nn.ReLU(True),\n            nn.Linear(1024, 3 * 64 * 64),  # CIFAR-10 \uc774\ubbf8\uc9c0 \ud06c\uae30\n            nn.Tanh()  # \ucd9c\ub825 \ubc94\uc704\ub97c [-1, 1]\ub85c\n        )\n\n    def forward(self, z):\n        return self.model(z).view(-1, 3, 64, 64)\n\nclass Discriminator(nn.Module):\n    def __init__(self):\n        super(Discriminator, self).__init__()\n        self.model = nn.Sequential(\n            nn.Linear(3 * 64 * 64, 512),\n            nn.LeakyReLU(0.2),\n            nn.Linear(512, 256),\n            nn.LeakyReLU(0.2),\n            nn.Linear(256, 1),\n            nn.Sigmoid()  # \ucd9c\ub825\uc774 [0, 1] \uc0ac\uc774\uc5d0 \uc788\ub3c4\ub85d\n        )\n\n    def forward(self, img):\n        return self.model(img.view(-1, 3 * 64 * 64))\n    <\/code><\/pre>\n
    3.4 \ubaa8\ub378 \ud559\uc2b5<\/h3>\n
    \n        GAN\uc758 \ud559\uc2b5 \uacfc\uc815\uc740 \ud310\ubcc4\uc790\uc640 \uc0dd\uc131\uc790\ub97c \ubc88\uac08\uc544 \uac00\uba70 \ud559\uc2b5\uc2dc\ud0a4\ub294 \ubc29\uc2dd\uc73c\ub85c \uc9c4\ud589\ub429\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\ub97c \ud1b5\ud574 GAN\uc744 \ud559\uc2b5\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n    <\/p>\n
    python\n# \ubaa8\ub378, \uc190\uc2e4 \ud568\uc218 \ubc0f \uc635\ud2f0\ub9c8\uc774\uc800 \uc815\uc758\ngenerator = Generator().cuda()\ndiscriminator = Discriminator().cuda()\ncriterion = nn.BCELoss()\noptimizer_G = optim.Adam(generator.parameters(), lr=0.0002, betas=(0.5, 0.999))\noptimizer_D = optim.Adam(discriminator.parameters(), lr=0.0002, betas=(0.5, 0.999))\n\n# \ud559\uc2b5 \ub8e8\ud504\nnum_epochs = 50\nfor epoch in range(num_epochs):\n    for i, (imgs, _) in enumerate(dataloader):\n        # \uc9c4\uc9dc \uc774\ubbf8\uc9c0 \ub808\uc774\ube14 \ubc0f \uac00\uc9dc \uc774\ubbf8\uc9c0 \ub808\uc774\ube14 \uc124\uc815\n        real_imgs = imgs.cuda()\n        batch_size = real_imgs.size(0)\n        labels_real = torch.ones(batch_size, 1).cuda()\n        labels_fake = torch.zeros(batch_size, 1).cuda()\n\n        # \ud310\ubcc4\uc790 \ud559\uc2b5\n        optimizer_D.zero_grad()\n        outputs_real = discriminator(real_imgs)\n        loss_real = criterion(outputs_real, labels_real)\n\n        z = torch.randn(batch_size, 100).cuda()  # \ub178\uc774\uc988 \uc0dd\uc131\n        fake_imgs = generator(z)\n        outputs_fake = discriminator(fake_imgs.detach())\n        loss_fake = criterion(outputs_fake, labels_fake)\n\n        loss_D = loss_real + loss_fake\n        loss_D.backward()\n        optimizer_D.step()\n\n        # \uc0dd\uc131\uc790 \ud559\uc2b5\n        optimizer_G.zero_grad()\n        outputs_fake = discriminator(fake_imgs)\n        loss_G = criterion(outputs_fake, labels_real)  # \uac00\uc9dc \uc774\ubbf8\uc9c0\uac00 \uc9c4\uc9dc\ub85c \ud310\ub2e8\ub418\ub3c4\ub85d \ud559\uc2b5\n        loss_G.backward()\n        optimizer_G.step()\n\n    print(f'Epoch [{epoch}\/{num_epochs}], Loss D: {loss_D.item():.4f}, Loss G: {loss_G.item():.4f}')\n    <\/code><\/pre>\n
    3.5 \uacb0\uacfc \uc2dc\uac01\ud654<\/h3>\n
    \n        \ud559\uc2b5\uc774 \uc644\ub8cc\ub41c \ud6c4 \uc0dd\uc131\ub41c \uc774\ubbf8\uc9c0\ub97c \uc2dc\uac01\ud654\ud558\uc5ec GAN\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uba87 \uac1c\uc758 \uc0dd\uc131\ub41c \uc774\ubbf8\uc9c0\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ucf54\ub4dc\uc785\ub2c8\ub2e4.\n    <\/p>\n
    python\ndef show_generated_images(model, num_images=25):\n    z = torch.randn(num_images, 100).cuda()\n    with torch.no_grad():\n        generated_imgs = model(z)\n    generated_imgs = generated_imgs.cpu().numpy()\n    generated_imgs = (generated_imgs + 1) \/ 2  # [0, 1] \ubc94\uc704\ub85c \ubcc0\ud658\n\n    fig, axes = plt.subplots(5, 5, figsize=(10, 10))\n    for i, ax in enumerate(axes.flatten()):\n        ax.imshow(generated_imgs[i].transpose(1, 2, 0))  # \ucc44\ub110 \uc21c\uc11c\ub97c \uc774\ubbf8\uc9c0\uc5d0 \ub9de\uac8c \ubcc0\uacbd\n        ax.axis('off')\n    plt.tight_layout()\n    plt.show()\n\nshow_generated_images(generator)\n    <\/code><\/pre>\n
    4. \uacb0\ub860<\/h2>\n
    \n        \ubcf8 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec GAN\uc744 \ud1b5\ud574 \ub3d9\ubb3c \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\ub294 \uc560\ub2c8\uba40\uac04(AnimalGAN)\uc744 \uad6c\ud604\ud558\uc600\uc2b5\ub2c8\ub2e4. GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac\ub97c \uc774\ud574\ud558\uace0 \uc2e4\uc81c\ub85c \ucf54\ub4dc\ub97c \ud1b5\ud574 \uacb0\uacfc\ub97c \ud655\uc778\ud568\uc73c\ub85c\uc368, GAN\uc758 \uac1c\ub150\uacfc \uc791\ub3d9 \ubc29\uc2dd\uc744 \uba85\ud655\ud788 \uc774\ud574\ud560 \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. GAN\uc740 \uc5ec\uc804\ud788 \uc5f0\uad6c\uac00 \ud65c\ubc1c\ud788 \uc774\ub8e8\uc5b4\uc9c0\uace0 \uc788\ub294 \ubd84\uc57c\uc774\uba70, \ubcf4\ub2e4 \uc9c4\ubcf4\ub41c \ubaa8\ub378\uacfc \uae30\uc220\ub4e4\uc774 \uc9c0\uc18d\uc801\uc73c\ub85c \ub4f1\uc7a5\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \uc2dc\ub3c4\ub97c \ud1b5\ud574 \uc6b0\ub9ac\ub294 \ub354 \ub9ce\uc740 \uac00\ub2a5\uc131\uc744 \ud0d0\uc0c9\ud560 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4.\n    <\/p>\n
    <\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
    1. \uc11c\ub860 Generative Adversarial Networks (GANs)\ub294 \ub450 \uac1c\uc758 \uc2e0\uacbd\ub9dd, \uc989 \uc0dd\uc131\uc790(Generator)\uc640 \ud310\ubcc4\uc790(Discriminator)\uac00 \uc11c\ub85c \ub300\ub9bd\ud558\uba74\uc11c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \uc774\ubbf8\uc9c0 \uc0dd\uc131, \ubcc0\ud658 \ubc0f \uc2a4\ud0c0\uc77c \uc804\uc774\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \uc9c4\ubcf4\ub41c \ub525\ub7ec\ub2dd \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 PyTorch\ub97c \ud65c\uc6a9\ud55c GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac\uc640 \uc774\ub97c \ud1b5\ud574 \ub3d9\ubb3c \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\ub294 \uc560\ub2c8\uba40\uac04(AnimalGAN)\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 2. GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac GAN\uc740 … \ub354 \ubcf4\uae30 “\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04”<\/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":[32],"tags":[],"class_list":["post-29851","post","type-post","status-publish","format-standard","hentry","category-gan--"],"yoast_head":"\n\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04 - \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\/29851\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"1. \uc11c\ub860 Generative Adversarial Networks (GANs)\ub294 \ub450 \uac1c\uc758 \uc2e0\uacbd\ub9dd, \uc989 \uc0dd\uc131\uc790(Generator)\uc640 \ud310\ubcc4\uc790(Discriminator)\uac00 \uc11c\ub85c \ub300\ub9bd\ud558\uba74\uc11c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \uc774\ubbf8\uc9c0 \uc0dd\uc131, \ubcc0\ud658 \ubc0f \uc2a4\ud0c0\uc77c \uc804\uc774\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \uc9c4\ubcf4\ub41c \ub525\ub7ec\ub2dd \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 PyTorch\ub97c \ud65c\uc6a9\ud55c GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac\uc640 \uc774\ub97c \ud1b5\ud574 \ub3d9\ubb3c \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\ub294 \uc560\ub2c8\uba40\uac04(AnimalGAN)\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 2. GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac GAN\uc740 … \ub354 \ubcf4\uae30 "\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29851\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T03:00:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:51:07+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29851\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29851\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04\",\"datePublished\":\"2024-10-28T03:00:33+00:00\",\"dateModified\":\"2024-11-26T06:51:07+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29851\/\"},\"wordCount\":29,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"GAN \ub525\ub7ec\ub2dd \uac15\uc88c\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29851\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29851\/\",\"name\":\"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#website\"},\"datePublished\":\"2024-10-28T03:00:33+00:00\",\"dateModified\":\"2024-11-26T06:51:07+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29851\/#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/atmokpo.com\/w\/29851\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/atmokpo.com\/w\/29851\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\ud648\",\"item\":\"https:\/\/atmokpo.com\/w\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/atmokpo.com\/w\/#website\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/atmokpo.com\/w\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ko-KR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"contentUrl\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"width\":400,\"height\":400,\"caption\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\"},\"image\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/bebubo4\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\",\"name\":\"root\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"caption\":\"root\"},\"sameAs\":[\"http:\/\/atmokpo.com\/w\"],\"url\":\"https:\/\/atmokpo.com\/w\/author\/root\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/atmokpo.com\/w\/29851\/","og_locale":"ko_KR","og_type":"article","og_title":"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","og_description":"1. \uc11c\ub860 Generative Adversarial Networks (GANs)\ub294 \ub450 \uac1c\uc758 \uc2e0\uacbd\ub9dd, \uc989 \uc0dd\uc131\uc790(Generator)\uc640 \ud310\ubcc4\uc790(Discriminator)\uac00 \uc11c\ub85c \ub300\ub9bd\ud558\uba74\uc11c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \uc774\ubbf8\uc9c0 \uc0dd\uc131, \ubcc0\ud658 \ubc0f \uc2a4\ud0c0\uc77c \uc804\uc774\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \uc9c4\ubcf4\ub41c \ub525\ub7ec\ub2dd \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 PyTorch\ub97c \ud65c\uc6a9\ud55c GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac\uc640 \uc774\ub97c \ud1b5\ud574 \ub3d9\ubb3c \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\ub294 \uc560\ub2c8\uba40\uac04(AnimalGAN)\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 2. GAN\uc758 \uae30\ubcf8 \uc6d0\ub9ac GAN\uc740 … \ub354 \ubcf4\uae30 \"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04\"","og_url":"https:\/\/atmokpo.com\/w\/29851\/","og_site_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","article_published_time":"2024-10-28T03:00:33+00:00","article_modified_time":"2024-11-26T06:51:07+00:00","author":"root","twitter_card":"summary_large_image","twitter_creator":"@bebubo4","twitter_site":"@bebubo4","twitter_misc":{"\uae00\uc4f4\uc774":"root","\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04":"2\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atmokpo.com\/w\/29851\/#article","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/29851\/"},"author":{"name":"root","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7"},"headline":"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04","datePublished":"2024-10-28T03:00:33+00:00","dateModified":"2024-11-26T06:51:07+00:00","mainEntityOfPage":{"@id":"https:\/\/atmokpo.com\/w\/29851\/"},"wordCount":29,"publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"articleSection":["GAN \ub525\ub7ec\ub2dd \uac15\uc88c"],"inLanguage":"ko-KR"},{"@type":"WebPage","@id":"https:\/\/atmokpo.com\/w\/29851\/","url":"https:\/\/atmokpo.com\/w\/29851\/","name":"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/#website"},"datePublished":"2024-10-28T03:00:33+00:00","dateModified":"2024-11-26T06:51:07+00:00","breadcrumb":{"@id":"https:\/\/atmokpo.com\/w\/29851\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atmokpo.com\/w\/29851\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/atmokpo.com\/w\/29851\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\ud648","item":"https:\/\/atmokpo.com\/w\/en\/"},{"@type":"ListItem","position":2,"name":"\ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c GAN \ub525\ub7ec\ub2dd, \uc560\ub2c8\uba40\uac04"}]},{"@type":"WebSite","@id":"https:\/\/atmokpo.com\/w\/#website","url":"https:\/\/atmokpo.com\/w\/","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","description":"","publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atmokpo.com\/w\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Organization","@id":"https:\/\/atmokpo.com\/w\/#organization","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","url":"https:\/\/atmokpo.com\/w\/","logo":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/","url":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","contentUrl":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","width":400,"height":400,"caption":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8"},"image":{"@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/bebubo4"]},{"@type":"Person","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7","name":"root","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","caption":"root"},"sameAs":["http:\/\/atmokpo.com\/w"],"url":"https:\/\/atmokpo.com\/w\/author\/root\/"}]}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":30000,"url":"https:\/\/atmokpo.com\/w\/30000\/","url_meta":{"origin":29851,"position":0},"title":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uacf5\uac04 \ud53c\ub77c\ubbf8\ub4dc \ud480\ub9c1","author":"root","date":"2024\ub144 10\uc6d4 28\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: [\ub0a0\uc9dc] 1. \uacf5\uac04 \ud53c\ub77c\ubbf8\ub4dc \ud480\ub9c1(SPP)\uc774\ub780? \uacf5\uac04 \ud53c\ub77c\ubbf8\ub4dc \ud480\ub9c1(SPP, Spatial Pyramid Pooling)\uc740 \uc774\ubbf8\uc9c0 \ubd84\ub958\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \ube44\uc804 \ud0dc\uc2a4\ud06c\uc758 \ubaa8\ub378\uc5d0\uc11c \uc0ac\uc6a9\ub418\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN)\uc740 \uace0\uc815\ub41c \ud06c\uae30\uc758 \uc785\ub825\uc744 \ud544\uc694\ub85c \ud558\uc9c0\ub9cc, SPP\ub294 \ubcc0\ub3d9\ud558\ub294 \ud06c\uae30\uc758 \uc774\ubbf8\uc9c0\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\uc744 \uc218 \uc788\ub294 \ud2b9\uc131\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 SPP\uac00 \uc785\ub825 \uc774\ubbf8\uc9c0\uc758 \ud06c\uae30\ub97c \uc5ec\ub7ec \uacb9\uc73c\ub85c \ub098\ub204\ub294\u2026","rel":"","context":""\ud30c\uc774\ud1a0\uce58 \uac15\uc88c"\uc5d0\uc11c","block_context":{"text":"\ud30c\uc774\ud1a0\uce58 \uac15\uc88c","link":"https:\/\/atmokpo.com\/w\/category\/%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98-%ea%b0%95%ec%a2%8c\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38798,"url":"https:\/\/atmokpo.com\/w\/38798\/","url_meta":{"origin":29851,"position":1},"title":"OpenCV \uac15\uc88c, PyTorch \ubaa8\ub378\uc744 OpenCV\ub85c \ub85c\ub4dc\ud558\uc5ec \uc2e4\ud589\ud558\uae30","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\uc800\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ubc0f \ube44\ub514\uc624 \ucc98\ub9ac \uae30\uc220\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. PyTorch\ub294 \uba38\uc2e0\ub7ec\ub2dd \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ud2b9\ud788 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc758 \uac1c\ubc1c\uacfc \ud559\uc2b5\uc5d0 \ub9ce\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 PyTorch\ub85c \ud559\uc2b5\ud55c \ubaa8\ub378\uc744 OpenCV\ub97c \ud1b5\ud574 \ub85c\ub4dc\ud558\uc5ec \uc2e4\uc2dc\uac04\uc73c\ub85c \uc2e4\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 2.\u2026","rel":"","context":""OpenCV"\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":29359,"url":"https:\/\/atmokpo.com\/w\/29359\/","url_meta":{"origin":29851,"position":2},"title":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc704\ud55c RNN","author":"root","date":"2024\ub144 10\uc6d4 27\uc77c","format":false,"excerpt":"\uc800\uc790: \uc870\uad11\ud615 \ub0a0\uc9dc: [\ub0a0\uc9dc] \ubaa9\ucc28 1. \uc11c\ub860 2. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uac1c\uc694 3. RNN(\uc21c\ud658 \uc2e0\uacbd\ub9dd) \uc18c\uac1c 4. \ub370\uc774\ud130 \uc804\ucc98\ub9ac 5. \ubaa8\ub378 \ud6c8\ub828 6. \ubc31\ud14c\uc2a4\ud305 7. \uc790\ub3d9\ub9e4\ub9e4 \uc804\ub7b5 \ubc30\ud3ec 8. \uacb0\ub860 1. \uc11c\ub860 \ud604\ub300 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\ub294 \ub370\uc774\ud130\uc758 \uc591\uc774 \ud3ed\ubc1c\uc801\uc73c\ub85c \uc99d\uac00\ud558\uba74\uc11c \uc804\ud1b5\uc801\uc778 \ud2b8\ub808\uc774\ub529 \ubc29\ubc95\uc744 \ub118\uc5b4\uc11c\ub294 \uace0\uae09 \uc54c\uace0\ub9ac\uc998\uc774 \ud544\uc694\ud574\uc84c\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ub274\uc2a4 \uae30\uc0ac, \uc18c\uc15c\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%ec%9e%90%eb%8f%99-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":30092,"url":"https:\/\/atmokpo.com\/w\/30092\/","url_meta":{"origin":29851,"position":3},"title":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \uc784\ubca0\ub529","author":"root","date":"2024\ub144 10\uc6d4 28\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \uc0ac\uc6a9\uc790\uac00 \uc758\ub3c4\ud55c \ubc14\ub97c \uc774\ud574\ud558\uace0, \ubb38\ub9e5\uc5d0 \ub9de\ub294 \uc751\ub2f5\uc744 \uc0dd\uc131\ud558\uba70, \uc5ec\ub7ec \uc5b8\uc5b4\uc801 \uc694\uc18c\ub97c \ubd84\uc11d\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc911\uc694\ud55c \uae30\uc220 \uc911 \ud558\ub098\uac00 \uc784\ubca0\ub529(Embedding)\uc785\ub2c8\ub2e4. \uc784\ubca0\ub529\uc740 \ub2e8\uc5b4\ub97c \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \ub354 \uc218\uce58\uc801\uc73c\ub85c \ud45c\ud604\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4. \uc624\ub298\uc740 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \ub2e8\uc5b4 \uc784\ubca0\ub529\uc744 \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc784\ubca0\ub529\uc774\ub780?\u2026","rel":"","context":""\ud30c\uc774\ud1a0\uce58 \uac15\uc88c"\uc5d0\uc11c","block_context":{"text":"\ud30c\uc774\ud1a0\uce58 \uac15\uc88c","link":"https:\/\/atmokpo.com\/w\/category\/%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98-%ea%b0%95%ec%a2%8c\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":29291,"url":"https:\/\/atmokpo.com\/w\/29291\/","url_meta":{"origin":29851,"position":4},"title":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc804\uc774\ud559\uc2b5  \uc801\uc740 \ub370\uc774\ud130\ub85c \ub354 \ube60\ub978 \ud6c8\ub828","author":"root","date":"2024\ub144 10\uc6d4 27\uc77c","format":false,"excerpt":"2023\ub144, \ucd5c\ucca8\ub2e8 \uae30\uc220\uc744 \ud1b5\ud574 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\ub294 \uc810\uc810 \ub354 \ub9ce\uc740 \uac70\ub798\uc790\ub4e4\uc774 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc744 \ucc44\ud0dd\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc740 \uae30\uc874\uc758 \uaddc\uce59 \uae30\ubc18 \uc2dc\uc2a4\ud15c\uc5d0 \ube44\ud574 \ub354 \ub192\uc740 \uc131\ub2a5\uacfc \uc720\uc5f0\uc131\uc744 \uc790\ub791\ud569\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5, \uadf8\ub9ac\uace0 \uc804\uc774 \ud559\uc2b5\uc744 \ud1b5\ud574 \uc801\uc740 \ub370\uc774\ud130\ub85c\ub3c4 \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%ec%9e%90%eb%8f%99-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25431,"url":"https:\/\/atmokpo.com\/w\/25431\/","url_meta":{"origin":29851,"position":5},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: KoBERT\ub97c \uc774\uc6a9\ud55c KorNLI \ud480\uc5b4\ubcf4\uae30 (\ub2e4\uc911 \ud074\ub798\uc2a4 \ubd84\ub958)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: [\uc870\uad11\ud615] \uc791\uc131\uc77c: [\ub0a0\uc9dc] 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uac04 \uc5b8\uc5b4\ub97c \ucef4\ud4e8\ud130\uac00 \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\ub85c, \uae30\uacc4 \ubc88\uc5ed, \uac10\uc815 \ubd84\uc11d, \uc9c8\ubb38 \uc751\ub2f5 \uc2dc\uc2a4\ud15c \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ucd5c\uadfc\uc5d0\ub294 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ub9ce\uc740 \ud601\uc2e0\uc774 \uc77c\uc5b4\ub098\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 KoBERT \ubaa8\ub378\uc744 \uc774\uc6a9\ud558\uc5ec KorNLI \ub370\uc774\ud130\uc14b\uc744 \ud65c\uc6a9\ud55c \ub2e4\uc911 \ud074\ub798\uc2a4\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29851","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=29851"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29851\/revisions"}],"predecessor-version":[{"id":29852,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29851\/revisions\/29852"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=29851"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=29851"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=29851"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}