{"id":29890,"date":"2024-10-28T03:18:30","date_gmt":"2024-10-28T03:18:30","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29890"},"modified":"2024-11-26T06:50:57","modified_gmt":"2024-11-26T06:50:57","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-1d-2d-3d-%ed%95%a9%ec%84%b1%ea%b3%b1","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29890\/","title":{"rendered":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1"},"content":{"rendered":"

<\/p>\n

\n \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Network, CNN)\uc740 \uc774\ubbf8\uc9c0, \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \ub4f1\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\uba70, \uc774\ub294 \ud569\uc131\uacf1(Convolution) \uc5f0\uc0b0\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\uc2dd\uc5d0 \uae30\uc778\ud569\ub2c8\ub2e4. CNN\uc740 \uc8fc\ub85c 2D \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\uc9c0\ub9cc, \ud2b9\uc815 \uc791\uc5c5\uc5d0\uc11c\ub294 1D \ub610\ub294 3D \ub370\uc774\ud130\uc758 \ucc98\ub9ac\ub3c4 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 1D, 2D, 3D \ud569\uc131\uacf1\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uace0, \ud30c\uc774\ud1a0\uce58(PyTorch)\ub85c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ud3ec\ud568\ud558\uc5ec \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n

1D \ud569\uc131\uacf1<\/h2>\n

\n 1D \ud569\uc131\uacf1\uc740 \uc8fc\ub85c \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub098 \uc21c\ucc28\uc801\uc778 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc624\ub514\uc624 \uc2e0\ud638, \uc8fc\uac00 \ub370\uc774\ud130, \uc13c\uc11c \ub370\uc774\ud130 \ub4f1\uc774 1D \ub370\uc774\ud130\uc5d0 \ud574\ub2f9\ud569\ub2c8\ub2e4. 1D \ud569\uc131\uacf1\uc740 \ud544\ud130\uac00 \uc785\ub825 \ub370\uc774\ud130\uc758 \ud55c \ucc28\uc6d0\uc5d0\uc11c \uc774\ub3d9\ud558\uba70 \uc5f0\uc0b0\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.\n <\/p>\n

1D \ud569\uc131\uacf1 \uc608\uc81c<\/h3>\n

\n \ub2e4\uc74c\uc740 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec 1D \ud569\uc131\uacf1\uc744 \uad6c\ud604\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.\n <\/p>\n

\nimport torch\nimport torch.nn as nn\n\n# 1D \ud569\uc131\uacf1 \ub808\uc774\uc5b4 \uc815\uc758\nclass Simple1DConv(nn.Module):\n    def __init__(self):\n        super(Simple1DConv, self).__init__()\n        self.conv1 = nn.Conv1d(in_channels=1, out_channels=1, kernel_size=3)\n    \n    def forward(self, x):\n        return self.conv1(x)\n\n# \uc608\uc81c \uc785\ub825 \ub370\uc774\ud130 (1 x 1 x 5) \ud615\ud0dc\ninput_data = torch.tensor([[[1.0, 2.0, 3.0, 4.0, 5.0]]])  # \ubc30\uce58 \ud06c\uae30 1, \ucc44\ub110 1\nmodel = Simple1DConv()\noutput = model(input_data)\nprint(output)\n    <\/code><\/pre>\n
\n       \uc704 \ucf54\ub4dc\uc5d0\uc11c Simple1DConv \ud074\ub798\uc2a4\ub294 1D \ud569\uc131\uacf1 \ub808\uc774\uc5b4\ub97c \uac00\uc9c0\uace0 \uc788\uc73c\uba70, \uc785\ub825 \ub370\uc774\ud130\ub294 (\ubc30\uce58 \ud06c\uae30, \ucc44\ub110 \uc218, \uae38\uc774)\uc758 \ud615\ud0dc\ub97c \uac00\uc9d1\ub2c8\ub2e4. \ud569\uc131\uacf1 \uc5f0\uc0b0 \ud6c4\uc758 \ucd9c\ub825 \ud06c\uae30\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4:
\n       
\n\ucd9c\ub825 \uae38\uc774 = (\uc785\ub825 \uae38\uc774 – \ucee4\ub110 \ud06c\uae30) + 1<\/strong>
\n
\n       \uc5ec\uae30\uc11c \uc785\ub825 \uae38\uc774\ub294 5, \ucee4\ub110 \ud06c\uae30\ub294 3\uc774\ubbc0\ub85c \ucd9c\ub825 \uae38\uc774\ub294 3\uc774 \ub429\ub2c8\ub2e4.\n    <\/p>\n
2D \ud569\uc131\uacf1<\/h2>\n
\n        2D \ud569\uc131\uacf1\uc740 \uc774\ubbf8\uc9c0\uc640 \uac19\uc740 2\ucc28\uc6d0 \ub370\uc774\ud130\uc5d0 \uc801\uc6a9\ub429\ub2c8\ub2e4. \ud544\ud130\uac00 \uc785\ub825 \uc774\ubbf8\uc9c0\uc758 \ub450 \ucc28\uc6d0\uc5d0\uc11c \uc774\ub3d9\ud558\uc5ec \uc5f0\uc0b0\uc744 \uc218\ud589\ud558\uba70, \uc774\ub294 \uc774\ubbf8\uc9c0\uc758 \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4.\n    <\/p>\n
2D \ud569\uc131\uacf1 \uc608\uc81c<\/h3>\n
\n        \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec 2D \ud569\uc131\uacf1\uc744 \uad6c\ud604\ud558\ub294 \uac04\ub2e8\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4.\n    <\/p>\n
\nimport torch\nimport torch.nn as nn\n\n# 2D \ud569\uc131\uacf1 \ub808\uc774\uc5b4 \uc815\uc758\nclass Simple2DConv(nn.Module):\n    def __init__(self):\n        super(Simple2DConv, self).__init__()\n        self.conv2d = nn.Conv2d(in_channels=1, out_channels=1, kernel_size=3)\n    \n    def forward(self, x):\n        return self.conv2d(x)\n\n# \uc608\uc81c \uc785\ub825 \ub370\uc774\ud130 (\ubc30\uce58 \ud06c\uae30 1, \ucc44\ub110 1, \ub192\uc774 5, \ub108\ube44 5)\ninput_data = torch.tensor([[[[1.0, 2.0, 3.0, 4.0, 5.0],\n                              [6.0, 7.0, 8.0, 9.0, 10.0],\n                              [11.0, 12.0, 13.0, 14.0, 15.0],\n                              [16.0, 17.0, 18.0, 19.0, 20.0],\n                              [21.0, 22.0, 23.0, 24.0, 25.0]]]])  # \ubc30\uce58 \ud06c\uae30 1, \ucc44\ub110 1\nmodel = Simple2DConv()\noutput = model(input_data)\nprint(output)\n    <\/code><\/pre>\n
\n        \uc704 \ucf54\ub4dc\uc5d0\uc11c Simple2DConv \ud074\ub798\uc2a4\ub294 2D \ud569\uc131\uacf1 \ub808\uc774\uc5b4\ub97c \uc815\uc758\ud569\ub2c8\ub2e4. \uc785\ub825 \ub370\uc774\ud130\ub294 (\ubc30\uce58 \ud06c\uae30, \ucc44\ub110 \uc218, \ub192\uc774, \ub108\ube44)\uc758 \ud615\ud0dc\uc774\uba70, \ucd9c\ub825 \ud06c\uae30\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4:
\n        
\n\ucd9c\ub825 \ub192\uc774 = (\uc785\ub825 \ub192\uc774 – \ucee4\ub110 \ub192\uc774) + 1<\/strong>
\n
\n\ucd9c\ub825 \ub108\ube44 = (\uc785\ub825 \ub108\ube44 – \ucee4\ub110 \ub108\ube44) + 1<\/strong>
\n
\n        \uc785\ub825 \ub192\uc774\uc640 \ub108\ube44\uac00 \ubaa8\ub450 5\uc774\uace0 \ucee4\ub110 \ud06c\uae30\uac00 3\uc774\ubbc0\ub85c \ucd9c\ub825\uc740 (1, 1, 3, 3) \ud615\ud0dc\uac00 \ub429\ub2c8\ub2e4.\n    <\/p>\n
3D \ud569\uc131\uacf1<\/h2>\n
\n        3D \ud569\uc131\uacf1\uc740 \ube44\ub514\uc624 \ub370\uc774\ud130\ub098 \ubcfc\ub968 \ub370\uc774\ud130\uc640 \uac19\uc774 3\ucc28\uc6d0 \ub370\uc774\ud130\uc5d0 \uc801\uc6a9\ub429\ub2c8\ub2e4. \uc774\ub294 \uc2dc\uac04\uc774 \uc9c0\ub098\uba74\uc11c \ubcc0\ud654\ud558\ub294 \ub370\uc774\ud130\ub098 \uc758\ub8cc \uc774\ubbf8\uc9c0\uc640 \uac19\uc740 3D \uad6c\uc870\ub97c \ubd84\uc11d\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4.\n    <\/p>\n
3D \ud569\uc131\uacf1 \uc608\uc81c<\/h3>\n
\n        \ub2e4\uc74c\uc740 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec 3D \ud569\uc131\uacf1\uc744 \uad6c\ud604\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.\n    <\/p>\n
\nimport torch\nimport torch.nn as nn\n\n# 3D \ud569\uc131\uacf1 \ub808\uc774\uc5b4 \uc815\uc758\nclass Simple3DConv(nn.Module):\n    def __init__(self):\n        super(Simple3DConv, self).__init__()\n        self.conv3d = nn.Conv3d(in_channels=1, out_channels=1, kernel_size=3)\n    \n    def forward(self, x):\n        return self.conv3d(x)\n\n# \uc608\uc81c \uc785\ub825 \ub370\uc774\ud130 (\ubc30\uce58 \ud06c\uae30 1, \ucc44\ub110 1, \uae4a\uc774 5, \ub192\uc774 5, \ub108\ube44 5)\ninput_data = torch.tensor([[[[[1.0, 2.0, 3.0, 4.0, 5.0],\n                               [6.0, 7.0, 8.0, 9.0, 10.0],\n                               [11.0, 12.0, 13.0, 14.0, 15.0],\n                               [16.0, 17.0, 18.0, 19.0, 20.0],\n                               [21.0, 22.0, 23.0, 24.0, 25.0]],\n                             \n                              [[1.0, 2.0, 3.0, 4.0, 5.0],\n                               [6.0, 7.0, 8.0, 9.0, 10.0],\n                               [11.0, 12.0, 13.0, 14.0, 15.0],\n                               [16.0, 17.0, 18.0, 19.0, 20.0],\n                               [21.0, 22.0, 23.0, 24.0, 25.0]],\n                              \n                              [[1.0, 2.0, 3.0, 4.0, 5.0],\n                               [6.0, 7.0, 8.0, 9.0, 10.0],\n                               [11.0, 12.0, 13.0, 14.0, 15.0],\n                               [16.0, 17.0, 18.0, 19.0, 20.0],\n                               [21.0, 22.0, 23.0, 24.0, 25.0]]]]])  # \ubc30\uce58 \ud06c\uae30 1, \ucc44\ub110 1\nmodel = Simple3DConv()\noutput = model(input_data)\nprint(output)\n    <\/code><\/pre>\n
\n        \uc704 \ucf54\ub4dc\ub294 Simple3DConv \ud074\ub798\uc2a4\ub97c \uc815\uc758\ud558\uba70 3D \ud569\uc131\uacf1 \ub808\uc774\uc5b4\ub97c \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc785\ub825 \ub370\uc774\ud130\ub294 (\ubc30\uce58 \ud06c\uae30, \ucc44\ub110 \uc218, \uae4a\uc774, \ub192\uc774, \ub108\ube44)\uc758 \ud615\ud0dc\ub97c \uac16\uc2b5\ub2c8\ub2e4. \ucd9c\ub825 \ud06c\uae30\ub294 \uc544\ub798\uc640 \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4:
\n        
\n\ucd9c\ub825 \uae4a\uc774 = (\uc785\ub825 \uae4a\uc774 – \ucee4\ub110 \uae4a\uc774) + 1<\/strong>
\n
\n\ucd9c\ub825 \ub192\uc774 = (\uc785\ub825 \ub192\uc774 – \ucee4\ub110 \ub192\uc774) + 1<\/strong>
\n
\n\ucd9c\ub825 \ub108\ube44 = (\uc785\ub825 \ub108\ube44 – \ucee4\ub110 \ub108\ube44) + 1<\/strong>\n<\/p>\n
\uacb0\ub860<\/h2>\n
\n        \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec 1D, 2D, 3D \ud569\uc131\uacf1\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ub370\uc774\ud130 \uc885\ub958\uc5d0 \ub530\ub77c \uc801\uc808\ud55c \ud569\uc131\uacf1 \ub808\uc774\uc5b4\ub97c \ud65c\uc6a9\ud558\uc5ec \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378\uc744 \uc124\uacc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uae4a\uc774 \uc788\ub294 \ubaa8\ub378\uc744 \uad6c\uc131\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc5ec\ub7ec \uac1c\uc758 \ud569\uc131\uacf1 \ub808\uc774\uc5b4\ub97c \uc313\uc544\uc62c\ub9ac\uac70\ub098, \ub2e4\uc591\ud55c \ud65c\uc131\ud654 \ud568\uc218\uc640 \ucd5c\uc801\ud654 \uae30\ubc95\uc744 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\uc758 \uc2e4\uc2b5\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uae30\ubc95\ub4e4\uc744 \ud65c\uc6a9\ud55c \uace0\uae09 \ubaa8\ub378 \uad6c\uc870\ub97c \uc124\uacc4\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub904\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4.\n    <\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Network, CNN)\uc740 \uc774\ubbf8\uc9c0, \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \ub4f1\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\uba70, \uc774\ub294 \ud569\uc131\uacf1(Convolution) \uc5f0\uc0b0\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\uc2dd\uc5d0 \uae30\uc778\ud569\ub2c8\ub2e4. CNN\uc740 \uc8fc\ub85c 2D \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\uc9c0\ub9cc, \ud2b9\uc815 \uc791\uc5c5\uc5d0\uc11c\ub294 1D \ub610\ub294 3D \ub370\uc774\ud130\uc758 \ucc98\ub9ac\ub3c4 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 1D, 2D, 3D \ud569\uc131\uacf1\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uace0, \ud30c\uc774\ud1a0\uce58(PyTorch)\ub85c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ud3ec\ud568\ud558\uc5ec \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1D \ud569\uc131\uacf1 … \ub354 \ubcf4\uae30 “\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1”<\/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-29890","post","type-post","status-publish","format-standard","hentry","category-33"],"yoast_head":"\n\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1 - \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\/29890\/\" \/>\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, 1D, 2D, 3D \ud569\uc131\uacf1 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Network, CNN)\uc740 \uc774\ubbf8\uc9c0, \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \ub4f1\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\uba70, \uc774\ub294 \ud569\uc131\uacf1(Convolution) \uc5f0\uc0b0\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\uc2dd\uc5d0 \uae30\uc778\ud569\ub2c8\ub2e4. CNN\uc740 \uc8fc\ub85c 2D \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\uc9c0\ub9cc, \ud2b9\uc815 \uc791\uc5c5\uc5d0\uc11c\ub294 1D \ub610\ub294 3D \ub370\uc774\ud130\uc758 \ucc98\ub9ac\ub3c4 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 1D, 2D, 3D \ud569\uc131\uacf1\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uace0, \ud30c\uc774\ud1a0\uce58(PyTorch)\ub85c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ud3ec\ud568\ud558\uc5ec \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1D \ud569\uc131\uacf1 … \ub354 \ubcf4\uae30 "\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29890\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T03:18:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:50:57+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=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29890\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29890\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1\",\"datePublished\":\"2024-10-28T03:18:30+00:00\",\"dateModified\":\"2024-11-26T06:50:57+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29890\/\"},\"wordCount\":49,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud30c\uc774\ud1a0\uce58 \uac15\uc88c\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29890\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29890\/\",\"name\":\"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#website\"},\"datePublished\":\"2024-10-28T03:18:30+00:00\",\"dateModified\":\"2024-11-26T06:50:57+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29890\/#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/atmokpo.com\/w\/29890\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/atmokpo.com\/w\/29890\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\ud648\",\"item\":\"https:\/\/atmokpo.com\/w\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1\"}]},{\"@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":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1 - \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\/29890\/","og_locale":"ko_KR","og_type":"article","og_title":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","og_description":"\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Network, CNN)\uc740 \uc774\ubbf8\uc9c0, \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \ub4f1\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\uba70, \uc774\ub294 \ud569\uc131\uacf1(Convolution) \uc5f0\uc0b0\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\uc2dd\uc5d0 \uae30\uc778\ud569\ub2c8\ub2e4. CNN\uc740 \uc8fc\ub85c 2D \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\uc9c0\ub9cc, \ud2b9\uc815 \uc791\uc5c5\uc5d0\uc11c\ub294 1D \ub610\ub294 3D \ub370\uc774\ud130\uc758 \ucc98\ub9ac\ub3c4 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 1D, 2D, 3D \ud569\uc131\uacf1\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uace0, \ud30c\uc774\ud1a0\uce58(PyTorch)\ub85c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ud3ec\ud568\ud558\uc5ec \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1D \ud569\uc131\uacf1 … \ub354 \ubcf4\uae30 \"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1\"","og_url":"https:\/\/atmokpo.com\/w\/29890\/","og_site_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","article_published_time":"2024-10-28T03:18:30+00:00","article_modified_time":"2024-11-26T06:50:57+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":"1\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atmokpo.com\/w\/29890\/#article","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/29890\/"},"author":{"name":"root","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7"},"headline":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1","datePublished":"2024-10-28T03:18:30+00:00","dateModified":"2024-11-26T06:50:57+00:00","mainEntityOfPage":{"@id":"https:\/\/atmokpo.com\/w\/29890\/"},"wordCount":49,"publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"articleSection":["\ud30c\uc774\ud1a0\uce58 \uac15\uc88c"],"inLanguage":"ko-KR"},{"@type":"WebPage","@id":"https:\/\/atmokpo.com\/w\/29890\/","url":"https:\/\/atmokpo.com\/w\/29890\/","name":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/#website"},"datePublished":"2024-10-28T03:18:30+00:00","dateModified":"2024-11-26T06:50:57+00:00","breadcrumb":{"@id":"https:\/\/atmokpo.com\/w\/29890\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atmokpo.com\/w\/29890\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/atmokpo.com\/w\/29890\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\ud648","item":"https:\/\/atmokpo.com\/w\/en\/"},{"@type":"ListItem","position":2,"name":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, 1D, 2D, 3D \ud569\uc131\uacf1"}]},{"@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":[],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29890","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=29890"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29890\/revisions"}],"predecessor-version":[{"id":29891,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29890\/revisions\/29891"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=29890"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=29890"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=29890"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}