{"id":476437,"date":"2023-08-09T07:29:55","date_gmt":"2023-08-09T07:29:55","guid":{"rendered":""},"modified":"2023-09-05T11:12:44","modified_gmt":"2023-09-05T11:12:44","slug":"convolutional-neural-networks-cnn","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/convolutional-neural-networks-cnn\/","title":{"rendered":"CNN(\ucee8\ubc8c\ub8e8\uc158 \uc2e0\uacbd\ub9dd)"},"content":{"rendered":"<p>CNN(Convolutional Neural Networks)\uc740 \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubd84\uc57c\uc5d0 \ud601\uba85\uc744 \uc77c\uc73c\ud0a8 \ub525 \ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud074\ub798\uc2a4\uc785\ub2c8\ub2e4. \uc2dc\uac01\uc801 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uace0 \uc778\uc2dd\ud558\ub3c4\ub85d \uc124\uacc4\ub41c \ud2b9\uc218\ud55c \uc720\ud615\uc758 \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc73c\ub85c, \uc774\ubbf8\uc9c0 \ubd84\ub958, \uac1d\uccb4 \uac10\uc9c0, \uc774\ubbf8\uc9c0 \uc0dd\uc131\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4. CNN\uc758 \ud575\uc2ec \uc544\uc774\ub514\uc5b4\ub294 \uc778\uac04 \ub450\ub1cc\uc758 \uc2dc\uac01\uc801 \ucc98\ub9ac\ub97c \ubaa8\ubc29\ud558\uc5ec \uc774\ubbf8\uc9c0\uc5d0\uc11c \uacc4\uce35\uc801 \ud328\ud134\uacfc \ud2b9\uc9d5\uc744 \uc790\ub3d9\uc73c\ub85c \ud559\uc2b5\ud558\uace0 \ucd94\ucd9c\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h2>CNN(Convolutional Neural Networks)\uc758 \uae30\uc6d0\uc5d0 \uad00\ud55c \uc5ed\uc0ac<\/h2>\n<p>CNN\uc758 \uc5ed\uc0ac\ub294 \ud37c\uc149\ud2b8\ub860(perceptron)\uc73c\ub85c \uc54c\ub824\uc9c4 \ucd5c\ucd08\uc758 \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc774 \uac1c\ubc1c\ub41c 1960\ub144\ub300\ub85c \uac70\uc2ac\ub7ec \uc62c\ub77c\uac11\ub2c8\ub2e4. \uadf8\ub7ec\ub098 CNN\uc758 \uae30\ubc18\uc774 \ub418\ub294 \ucee8\ubcfc\ub8e8\uc154\ub110 \ub124\ud2b8\uc6cc\ud06c(Convolutional Network)\ub77c\ub294 \uac1c\ub150\uc740 1980\ub144\ub300\uc5d0 \ub3c4\uc785\ub418\uc5c8\uc2b5\ub2c8\ub2e4. 1989\ub144 Yann LeCun\uc740 \ub2e4\ub978 \uc0ac\ub78c\ub4e4\uacfc \ud568\uaed8 CNN\uc758 \ucd08\uae30 \uc131\uacf5\uc801\uc778 \uad6c\ud604 \uc911 \ud558\ub098\uc778 LeNet-5 \uc544\ud0a4\ud14d\ucc98\ub97c \uc81c\uc548\ud588\uc2b5\ub2c8\ub2e4. \uc774 \ub124\ud2b8\uc6cc\ud06c\ub294 \uc8fc\ub85c \ud544\uae30 \uc22b\uc790 \uc778\uc2dd\uc5d0 \uc0ac\uc6a9\ub418\uc5c8\uc73c\uba70 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc758 \ubbf8\ub798 \ubc1c\uc804\uc744 \uc704\ud55c \ud1a0\ub300\ub97c \ub9c8\ub828\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>CNN(\ucee8\ubcfc\ub8e8\uc154\ub110 \uc2e0\uacbd\ub9dd)\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc815\ubcf4<\/h2>\n<p>CNN\uc740 \uc778\uac04\uc758 \uc2dc\uac01 \uc2dc\uc2a4\ud15c, \ud2b9\ud788 \uc2dc\uac01 \ud53c\uc9c8\uc758 \uc870\uc9c1\uc5d0\uc11c \uc601\uac10\uc744 \ubc1b\uc558\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc5ec\ub7ec \ub808\uc774\uc5b4\ub85c \uad6c\uc131\ub418\uba70 \uac01\uac01\uc740 \uc785\ub825 \ub370\uc774\ud130\uc5d0 \ub300\ud574 \ud2b9\uc815 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 CNN \uc544\ud0a4\ud14d\ucc98\uc758 \uc8fc\uc694 \ub808\uc774\uc5b4\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uc785\ub825 \ub808\uc774\uc5b4:<\/strong> \uc774 \ub808\uc774\uc5b4\ub294 \uc6d0\uc2dc \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ucee8\ubc8c\ub8e8\uc158 \ub808\uc774\uc5b4:<\/strong> \ucee8\ubcfc\ub8e8\uc154\ub110 \ub808\uc774\uc5b4\ub294 CNN\uc758 \ud575\uc2ec\uc785\ub2c8\ub2e4. \uc774\ub294 \uc785\ub825 \uc774\ubbf8\uc9c0 \uc704\ub85c \ubbf8\ub044\ub7ec\uc9c0\ub294 \uc5ec\ub7ec \ud544\ud130(\ucee4\ub110\uc774\ub77c\uace0\ub3c4 \ud568)\ub85c \uad6c\uc131\ub418\uc5b4 \ucee8\ubcfc\ub8e8\uc158\uc744 \ud1b5\ud574 \ub85c\uceec \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4. \uac01 \ud544\ud130\ub294 \uac00\uc7a5\uc790\ub9ac\ub098 \uc9c8\uac10\uacfc \uac19\uc740 \ud2b9\uc815 \ud328\ud134\uc744 \uac10\uc9c0\ud558\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud65c\uc131\ud654 \uae30\ub2a5:<\/strong> \ucee8\ubcfc\ub8e8\uc158 \uc791\uc5c5 \ud6c4 \ud65c\uc131\ud654 \ud568\uc218(\uc77c\ubc18\uc801\uc73c\ub85c ReLU \u2013 Rectified Linear Unit)\uac00 \uc694\uc18c\ubcc4\ub85c \uc801\uc6a9\ub418\uc5b4 \ub124\ud2b8\uc6cc\ud06c\uc5d0 \ube44\uc120\ud615\uc131\uc744 \ub3c4\uc785\ud558\uc5ec \ub354 \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud480\ub9c1 \uacc4\uce35:<\/strong> \ud480\ub9c1 \uacc4\uce35(\uc77c\ubc18\uc801\uc73c\ub85c \ucd5c\ub300 \ud480\ub9c1)\uc740 \ud544\uc218 \uc815\ubcf4\ub97c \uc720\uc9c0\ud558\uba74\uc11c \ub370\uc774\ud130\uc758 \uacf5\uac04\uc801 \ucc28\uc6d0\uc744 \uc904\uc774\uace0 \uacc4\uc0b0 \ubcf5\uc7a1\uc131\uc744 \uc904\uc774\uae30 \uc704\ud574 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc644\uc804 \uc5f0\uacb0 \uacc4\uce35:<\/strong> \uc774\ub7ec\ud55c \ub808\uc774\uc5b4\ub294 \uc774\uc804 \ub808\uc774\uc5b4\uc758 \ubaa8\ub4e0 \ub274\ub7f0\uc744 \ud604\uc7ac \ub808\uc774\uc5b4\uc758 \ubaa8\ub4e0 \ub274\ub7f0\uc5d0 \uc5f0\uacb0\ud569\ub2c8\ub2e4. \ud559\uc2b5\ub41c \uae30\ub2a5\uc744 \uc9d1\uacc4\ud558\uace0 \ubd84\ub958 \ub610\ub294 \uae30\ud0c0 \uc791\uc5c5\uc5d0 \ub300\ud55c \ucd5c\uc885 \uacb0\uc815\uc744 \ub0b4\ub9bd\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ucd9c\ub825 \ub808\uc774\uc5b4:<\/strong> \ub9c8\uc9c0\ub9c9 \uacc4\uce35\uc740 \uc774\ubbf8\uc9c0 \ubd84\ub958\ub97c \uc704\ud55c \ud074\ub798\uc2a4 \ub808\uc774\ube14 \ub610\ub294 \uc774\ubbf8\uc9c0 \uc0dd\uc131\uc744 \uc704\ud55c \ub9e4\uac1c\ubcc0\uc218 \uc9d1\ud569\uc774 \ub420 \uc218 \uc788\ub294 \ub124\ud2b8\uc6cc\ud06c\uc758 \ucd9c\ub825\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\ucee8\ubcfc\ub8e8\uc154\ub110 \uc2e0\uacbd\ub9dd(CNN)\uc758 \ub0b4\ubd80 \uad6c\uc870<\/h2>\n<p>CNN\uc758 \ub0b4\ubd80 \uad6c\uc870\ub294 \ud53c\ub4dc\ud3ec\uc6cc\ub4dc \uba54\ucee4\ub2c8\uc998\uc744 \ub530\ub985\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uac00 \ub124\ud2b8\uc6cc\ud06c\uc5d0 \uc785\ub825\ub418\uba74 \uc5ed\uc804\ud30c\ub97c \ud1b5\ud55c \ud6c8\ub828 \uacfc\uc815\uc5d0\uc11c \uac00\uc911\uce58\uc640 \ud3b8\ud5a5\uc774 \uc870\uc815\ub418\uba74\uc11c \uac01 \ub808\uc774\uc5b4\ub97c \uc21c\ucc28\uc801\uc73c\ub85c \ud1b5\uacfc\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubc18\ubcf5\uc801 \ucd5c\uc801\ud654\ub294 \ub124\ud2b8\uc6cc\ud06c\uac00 \uc774\ubbf8\uc9c0\uc758 \ub2e4\uc591\ud55c \ud2b9\uc9d5\uacfc \uac1d\uccb4\ub97c \uc778\uc2dd\ud558\uace0 \uad6c\ubcc4\ud558\ub294 \ubc29\ubc95\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<h2>CNN(Convolutional Neural Networks)\uc758 \uc8fc\uc694 \ud2b9\uc9d5 \ubd84\uc11d<\/h2>\n<p>CNN\uc740 \uc2dc\uac01\uc801 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc778 \uba87 \uac00\uc9c0 \uc8fc\uc694 \uae30\ub2a5\uc744 \uac16\ucd94\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uae30\ub2a5 \ud559\uc2b5:<\/strong> CNN\uc740 \uc6d0\uc2dc \ub370\uc774\ud130\uc5d0\uc11c \uacc4\uce35\uc801 \uae30\ub2a5\uc744 \uc790\ub3d9\uc73c\ub85c \ud559\uc2b5\ud558\ubbc0\ub85c \uc218\ub3d9 \uae30\ub2a5 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1\uc774 \ud544\uc694\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubc88\uc5ed \ubd88\ubcc0\uc131:<\/strong> \ucee8\ubc8c\ub8e8\uc158 \ub808\uc774\uc5b4\ub97c \uc0ac\uc6a9\ud558\uba74 CNN\uc774 \uc774\ubbf8\uc9c0\uc758 \uc704\uce58\uc5d0 \uad00\uacc4\uc5c6\uc774 \ud328\ud134\uc744 \uac10\uc9c0\ud558\uc5ec \ubcc0\ud658 \ubd88\ubcc0\uc131\uc744 \uc81c\uacf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub9e4\uac1c\ubcc0\uc218 \uacf5\uc720:<\/strong> \uc5ec\ub7ec \uacf5\uac04 \uc704\uce58\uc5d0\uc11c \uac00\uc911\uce58\ub97c \uacf5\uc720\ud558\uba74 \ub9e4\uac1c\ubcc0\uc218 \uc218\uac00 \uc904\uc5b4\ub4e4\uc5b4 CNN\uc774 \ub354\uc6b1 \ud6a8\uc728\uc801\uc774\uace0 \ud655\uc7a5 \uac00\ub2a5\ud574\uc9d1\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uacf5\uac04 \uacc4\uce35\uc744 \uc704\ud55c \ud480\ub9c1:<\/strong> \ud480\ub9c1 \ub808\uc774\uc5b4\ub294 \uacf5\uac04 \ucc28\uc6d0\uc744 \uc810\uc9c4\uc801\uc73c\ub85c \uc904\uc5ec \ub124\ud2b8\uc6cc\ud06c\uac00 \ub2e4\uc591\ud55c \uaddc\ubaa8\uc758 \ud2b9\uc9d5\uc744 \uc778\uc2dd\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc2ec\uce35 \uc544\ud0a4\ud14d\ucc98:<\/strong> CNN\uc740 \uc5ec\ub7ec \uacc4\uce35\uc73c\ub85c \uc2ec\uce35\uc801\uc77c \uc218 \uc788\uc73c\ubbc0\ub85c \ubcf5\uc7a1\ud558\uace0 \ucd94\uc0c1\uc801\uc778 \ud45c\ud604\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>CNN(\ucee8\ubc8c\ub8e8\uc158 \uc2e0\uacbd\ub9dd)\uc758 \uc720\ud615<\/h2>\n<p>CNN\uc740 \uac01\uac01 \ud2b9\uc815 \uc791\uc5c5\uc5d0 \ub9de\uac8c \uc870\uc815\ub41c \ub2e4\uc591\ud55c \uc544\ud0a4\ud14d\ucc98\ub85c \uc81c\uacf5\ub429\ub2c8\ub2e4. \uc77c\ubd80 \uc778\uae30 \uc788\ub294 CNN \uc544\ud0a4\ud14d\ucc98\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>LeNet-5:<\/strong> \uc190\uc73c\ub85c \uc4f4 \uc22b\uc790 \uc778\uc2dd\uc744 \uc704\ud574 \uc124\uacc4\ub41c \ucd5c\ucd08\uc758 CNN \uc911 \ud558\ub098\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc54c\ub809\uc2a4\ub137:<\/strong> 2012\ub144\uc5d0 \uc18c\uac1c\ub41c \uc774 \uc54c\uace0\ub9ac\uc998\uc740 ILSVRC(ImageNet Large Scale Visual Recognition Challenge)\uc5d0\uc11c \uc6b0\uc2b9\ud55c \ucd5c\ucd08\uc758 \uc2ec\uce35 CNN\uc774\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>VGGNet:<\/strong> \ub124\ud2b8\uc6cc\ud06c \uc804\uccb4\uc5d0\uc11c 3\u00d73 \ucee8\ubcfc\ub8e8\uc154\ub110 \ud544\ud130\ub97c \ud65c\uc6a9\ud558\ub294 \uade0\uc77c\ud55c \uc544\ud0a4\ud14d\ucc98\uc758 \ub2e8\uc21c\ud568\uc73c\ub85c \uc720\uba85\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>ResNet:<\/strong> \ub9e4\uc6b0 \uae4a\uc740 \ub124\ud2b8\uc6cc\ud06c\uc758 \uacbd\uc0ac \uc18c\uc2e4 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \uc5f0\uacb0 \uac74\ub108\ub6f0\uae30(\uc794\ucc28 \ube14\ub85d)\ub97c \ub3c4\uc785\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc778\uc149\uc158(GoogleNet):<\/strong> \ub2e4\uc591\ud55c \ud06c\uae30\uc758 \ubcd1\ub82c \ucee8\ubcfc\ub8e8\uc158\uc774 \uc788\ub294 \uac1c\uc2dc \ubaa8\ub4c8\uc744 \ud65c\uc6a9\ud558\uc5ec \ub2e4\uc911 \uaddc\ubaa8 \uae30\ub2a5\uc744 \ucea1\ucc98\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubaa8\ubc14\uc77c\ub137:<\/strong> \ubaa8\ubc14\uc77c \ubc0f \uc784\ubca0\ub514\ub4dc \uc7a5\uce58\uc5d0 \ucd5c\uc801\ud654\ub418\uc5b4 \uc815\ud655\uc131\uacfc \uacc4\uc0b0 \ud6a8\uc728\uc131 \uc0ac\uc774\uc758 \uade0\ud615\uc744 \uc720\uc9c0\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<p>\ud45c: \uc778\uae30 \uc788\ub294 CNN \uc544\ud0a4\ud14d\ucc98 \ubc0f \ud574\ub2f9 \uc560\ud50c\ub9ac\ucf00\uc774\uc158<\/p>\n<table>\n<thead>\n<tr>\n<th>\uac74\ucd95\ud559<\/th>\n<th>\uc751\uc6a9<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\ub974\ub137-5<\/td>\n<td>\ud544\uae30 \uc22b\uc790 \uc778\uc2dd<\/td>\n<\/tr>\n<tr>\n<td>\uc54c\ub809\uc2a4\ub137<\/td>\n<td>\uc774\ubbf8\uc9c0 \ubd84\ub958<\/td>\n<\/tr>\n<tr>\n<td>VGGNet<\/td>\n<td>\uac1d\uccb4 \uc778\uc2dd<\/td>\n<\/tr>\n<tr>\n<td>\ub808\uc2a4\ub137<\/td>\n<td>\ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0\uc11c\uc758 \ub525\ub7ec\ub2dd<\/td>\n<\/tr>\n<tr>\n<td>\ucc98\uc74c<\/td>\n<td>\uc774\ubbf8\uc9c0 \uc778\uc2dd \ubc0f \ubd84\ud560<\/td>\n<\/tr>\n<tr>\n<td>\ubaa8\ubc14\uc77c\ub137<\/td>\n<td>\ubaa8\ubc14\uc77c \ubc0f \uc784\ubca0\ub514\ub4dc \uc7a5\uce58 \ube44\uc804<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>CNN(Convolutional Neural Networks)\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95, \ubb38\uc81c \ubc0f \uc194\ub8e8\uc158<\/h2>\n<p>CNN\uc758 \uc751\uc6a9 \ubd84\uc57c\ub294 \ubc29\ub300\ud558\uba70 \uc9c0\uc18d\uc801\uc73c\ub85c \ud655\uc7a5\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uba87 \uac00\uc9c0 \uc77c\ubc18\uc801\uc778 \uc0ac\uc6a9 \uc0ac\ub840\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uc774\ubbf8\uc9c0 \ubd84\ub958:<\/strong> \ucf58\ud150\uce20\uc5d0 \ub530\ub77c \uc774\ubbf8\uc9c0\uc5d0 \ub77c\ubca8\uc744 \ud560\ub2f9\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubb3c\uccb4 \uac10\uc9c0:<\/strong> \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac1c\uccb4\ub97c \uc2dd\ubcc4\ud558\uace0 \ucc3e\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc758\ubbf8\ub860\uc801 \ubd84\ud560:<\/strong> \uc774\ubbf8\uc9c0\uc758 \uac01 \ud53d\uc140\uc5d0 \ud074\ub798\uc2a4 \ub77c\ubca8\uc744 \ud560\ub2f9\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc774\ubbf8\uc9c0 \uc0dd\uc131:<\/strong> \uc2a4\ud0c0\uc77c \uc804\uc1a1 \ub610\ub294 GAN(Generative Adversarial Networks)\uacfc \uac19\uc774 \ucc98\uc74c\ubd80\ud130 \uc0c8\ub85c\uc6b4 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<p>\uc131\uacf5\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0 CNN\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uacfc\uc81c\uc5d0 \uc9c1\uba74\ud574 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uacfc\uc801\ud569:<\/strong> \ubaa8\ub378\uc774 \ud6c8\ub828 \ub370\uc774\ud130\uc5d0 \ub300\ud574\uc11c\ub294 \uc798 \uc218\ud589\ub418\uc9c0\ub9cc, \ubcf4\uc774\uc9c0 \uc54a\ub294 \ub370\uc774\ud130\uc5d0 \ub300\ud574\uc11c\ub294 \uc131\ub2a5\uc774 \uc88b\uc9c0 \uc54a\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uacc4\uc0b0 \uac15\ub3c4:<\/strong> Deep CNN\uc5d0\ub294 \uc0c1\ub2f9\ud55c \uacc4\uc0b0 \ub9ac\uc18c\uc2a4\uac00 \ud544\uc694\ud558\ubbc0\ub85c \ud2b9\uc815 \uc7a5\uce58\uc5d0\uc11c\uc758 \uc0ac\uc6a9\uc774 \uc81c\ud55c\ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<p>\uc774\ub7ec\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \ub370\uc774\ud130 \uc99d\ub300, \uc815\uaddc\ud654, \ubaa8\ub378 \uc555\ucd95\uacfc \uac19\uc740 \uae30\uc220\uc774 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h2>\uc8fc\uc694 \ud2b9\uc9d5 \ubc0f \uae30\ud0c0 \ube44\uad50<\/h2>\n<p>\ud45c: CNN\uacfc \uae30\uc874 \uc2e0\uacbd\ub9dd \ube44\uad50<\/p>\n<table>\n<thead>\n<tr>\n<th>\ud615\uc9c8<\/th>\n<th>CNN<\/th>\n<th>\uc804\ud1b5\uc801\uc778 NN<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\uc785\ub825<\/td>\n<td>\uc2dc\uac01\uc801 \ub370\uc774\ud130\uc5d0 \uc8fc\ub85c \uc0ac\uc6a9\ub428<\/td>\n<td>\ud45c \ud615\uc2dd \ub610\ub294 \uc21c\ucc28 \ub370\uc774\ud130\uc5d0 \uc801\ud569<\/td>\n<\/tr>\n<tr>\n<td>\uac74\ucd95\ud559<\/td>\n<td>\uacc4\uce35\uc801 \ud328\ud134\uc5d0 \ud2b9\ud654\ub428<\/td>\n<td>\ub2e8\uc21c\ud558\uace0 \uc870\ubc00\ud55c \ub808\uc774\uc5b4<\/td>\n<\/tr>\n<tr>\n<td>\uae30\ub2a5 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1<\/td>\n<td>\uc790\ub3d9 \ud2b9\uc131 \ud559\uc2b5<\/td>\n<td>\uc218\ub3d9 \uae30\ub2a5 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \ud544\uc694<\/td>\n<\/tr>\n<tr>\n<td>\ubc88\uc5ed \ubd88\ubcc0\uc131<\/td>\n<td>\uc608<\/td>\n<td>\uc544\ub2c8\uc694<\/td>\n<\/tr>\n<tr>\n<td>\ub9e4\uac1c\ubcc0\uc218 \uacf5\uc720<\/td>\n<td>\uc608<\/td>\n<td>\uc544\ub2c8\uc694<\/td>\n<\/tr>\n<tr>\n<td>\uacf5\uac04 \uacc4\uce35<\/td>\n<td>\ud480\ub9c1 \ub808\uc774\uc5b4 \ud65c\uc6a9<\/td>\n<td>\ud574\ub2f9 \uc5c6\uc74c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>CNN\uc5d0 \ub300\ud55c \uc804\ub9dd\uacfc \ubbf8\ub798\uae30\uc220<\/h2>\n<p>CNN\uc740 \uc774\ubbf8 \ub2e4\uc591\ud55c \uc0b0\uc5c5\uacfc \ubd84\uc57c\uc5d0 \ub9c9\ub300\ud55c \uc601\ud5a5\uc744 \ubbf8\ucce4\uc9c0\ub9cc \uadf8 \uc7a0\uc7ac\ub825\uc740 \uacb0\ucf54 \ubb34\uad81\ubb34\uc9c4\ud569\ub2c8\ub2e4. CNN\uacfc \uad00\ub828\ub41c \ubbf8\ub798\uc758 \uad00\uc810\uacfc \uae30\uc220\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uc2e4\uc2dc\uac04 \uc560\ud50c\ub9ac\ucf00\uc774\uc158:<\/strong> \uc9c4\ud589 \uc911\uc778 \uc5f0\uad6c\ub294 \ucef4\ud4e8\ud305 \uc694\uad6c \uc0ac\ud56d\uc744 \uc904\uc5ec \ub9ac\uc18c\uc2a4\uac00 \uc81c\ud55c\ub41c \uc7a5\uce58\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad6c\ud604\ud558\ub294 \ub370 \uc911\uc810\uc744 \ub450\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc124\uba85 \uac00\ub2a5\uc131:<\/strong> \uc0ac\uc6a9\uc790\uac00 \ubaa8\ub378\uc758 \uacb0\uc815\uc744 \uc774\ud574\ud560 \uc218 \uc788\ub3c4\ub85d CNN\uc744 \ub354 \uc27d\uac8c \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ub178\ub825\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc804\uc774 \ud559\uc2b5:<\/strong> \uc0ac\uc804 \ud6c8\ub828\ub41c CNN \ubaa8\ub378\uc740 \ud2b9\uc815 \uc791\uc5c5\uc5d0 \ub9de\uac8c \ubbf8\uc138 \uc870\uc815\ub420 \uc218 \uc788\uc73c\ubbc0\ub85c \uad11\ubc94\uc704\ud55c \ud6c8\ub828 \ub370\uc774\ud130\uc758 \ud544\uc694\uc131\uc774 \uc904\uc5b4\ub4ed\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc9c0\uc18d\uc801\uc778 \ud559\uc2b5:<\/strong> \uc774\uc804\uc5d0 \ud559\uc2b5\ud55c \uc815\ubcf4\ub97c \uc78a\uc9c0 \uc54a\uace0 \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\ub85c\ubd80\ud130 \uc9c0\uc18d\uc801\uc73c\ub85c \ud559\uc2b5\ud560 \uc218 \uc788\ub3c4\ub85d CNN\uc744 \uac15\ud654\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\ud504\ub85d\uc2dc \uc11c\ubc84\ub97c CNN(Convolutional Neural Networks)\uacfc \uc0ac\uc6a9\ud558\uac70\ub098 \uc5f0\uacb0\ud558\ub294 \ubc29\ubc95<\/h2>\n<p>\ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ud074\ub77c\uc774\uc5b8\ud2b8\uc640 \uc778\ud130\ub137 \uac04\uc758 \uc911\uac1c\uc790 \uc5ed\ud560\uc744 \ud558\uc5ec \uc775\uba85\uc131, \ubcf4\uc548 \ubc0f \uce90\uc2f1 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc6f9\uc5d0\uc11c \ub370\uc774\ud130 \uac80\uc0c9\uc774 \ud544\uc694\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c CNN\uc744 \uc0ac\uc6a9\ud560 \ub54c \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ub2e4\uc74c\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ub370\uc774\ud130 \uc218\uc9d1:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \ud65c\uc6a9\ud558\uc5ec \uc694\uccad\uc744 \uc775\uba85\ud654\ud558\uace0 CNN \uad50\uc721\uc744 \uc704\ud55c \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc138\ud2b8\ub97c \uc218\uc9d1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac1c\uc778\uc815\ubcf4 \ubcf4\ud638:<\/strong> \ud504\ub85d\uc2dc\ub97c \ud1b5\ud574 \uc694\uccad\uc744 \ub77c\uc6b0\ud305\ud568\uc73c\ub85c\uc368 \uc0ac\uc6a9\uc790\ub294 \ubaa8\ub378 \uad50\uc721 \uc911\uc5d0 \uc790\uc2e0\uc758 \uc2e0\uc6d0\uacfc \ubbfc\uac10\ud55c \uc815\ubcf4\ub97c \ubcf4\ud638\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub85c\ub4dc \ubc38\ub7f0\uc2f1:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ub4e4\uc5b4\uc624\ub294 \ub370\uc774\ud130 \uc694\uccad\uc744 \uc5ec\ub7ec CNN \uc11c\ubc84\uc5d0 \ubd84\uc0b0\ud558\uc5ec \ub9ac\uc18c\uc2a4 \ud65c\uc6a9\ub3c4\ub97c \ucd5c\uc801\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<p>CNN(\ucee8\ubcfc\ub8e8\uc154\ub110 \uc2e0\uacbd\ub9dd)\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc744 \ubcf4\ub824\uba74 \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \ud0d0\uc0c9\ud558\uc138\uc694.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.deeplearningbook.org\/contents\/convnets.html\" target=\"_new\" rel=\"noopener nofollow\">\ub525 \ub7ec\ub2dd \ub3c4\uc11c: 9\uc7a5 - \ucee8\ubcfc\ub8e8\uc154\ub110 \ub124\ud2b8\uc6cc\ud06c<\/a><\/li>\n<li><a href=\"http:\/\/cs231n.stanford.edu\/\" target=\"_new\" rel=\"noopener nofollow\">Stanford CS231n \u2013 \uc2dc\uac01\uc801 \uc778\uc2dd\uc744 \uc704\ud55c \ucee8\ubcfc\ub8e8\uc154\ub110 \uc2e0\uacbd\ub9dd<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/introduction-to-convolutional-neural-networks-cnn-with-tensorflow-57e2f4837e18\" target=\"_new\" rel=\"noopener nofollow\">\ub370\uc774\ud130 \uacfc\ud559\uc744 \ud5a5\ud558\uc5ec \u2013 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd \uc18c\uac1c<\/a><\/li>\n<\/ul>\n<p>\uc2dc\uac01\uc801 \ub370\uc774\ud130\uc5d0\uc11c \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \ucd94\ucd9c\ud558\ub294 \ub2a5\ub825\uc744 \uac16\ucd98 \ucee8\ubcfc\ub8e8\uc154\ub110 \uc2e0\uacbd\ub9dd(Convolutional Neural Networks)\uc740 \uacc4\uc18d\ud574\uc11c \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\ub97c \ubc1c\uc804\uc2dc\ud0a4\uace0 \uc778\uacf5 \uc9c0\ub2a5\uc758 \uacbd\uacc4\ub97c \ud655\uc7a5\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uae30\uc220\uc774 \ubc1c\uc804\ud558\uace0 \uc811\uadfc\uc131\uc774 \ub192\uc544\uc9d0\uc5d0 \ub530\ub77c CNN\uc774 \ub2e4\uc591\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ud1b5\ud569\ub418\uc5b4 \ub2e4\uc591\ud55c \ubc29\uc2dd\uc73c\ub85c \uc6b0\ub9ac \uc0b6\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uac83\uc73c\ub85c \uae30\ub300\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>","protected":false},"featured_media":468019,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476437","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Convolutional Neural Networks (CNN)<\/mark>","faq_items":[{"question":"What are Convolutional Neural Networks (CNN)?","answer":"<p>Convolutional Neural Networks (CNN) are a type of deep learning algorithm designed for computer vision tasks, such as image classification, object detection, and image generation. They mimic the human visual system, automatically learning hierarchical patterns and features from images.<\/p>"},{"question":"How do Convolutional Neural Networks (CNN) work?","answer":"<p>CNNs consist of multiple layers, including convolutional layers, activation functions, pooling layers, and fully connected layers. The convolutional layers perform local feature extraction, activation functions introduce non-linearity, pooling layers reduce spatial dimensions, and fully connected layers make final decisions.<\/p>"},{"question":"What are the key features of Convolutional Neural Networks (CNN)?","answer":"<p>CNNs offer feature learning, translation invariance, parameter sharing, and the ability to capture spatial hierarchies. They automatically learn patterns, can detect objects regardless of their position, reduce the number of parameters, and recognize features at different scales.<\/p>"},{"question":"What types of Convolutional Neural Networks (CNN) exist?","answer":"<p>There are various CNN architectures, each tailored for specific tasks. Some popular ones include LeNet-5, AlexNet, VGGNet, ResNet, Inception, and MobileNet.<\/p>"},{"question":"What are the ways to use Convolutional Neural Networks (CNN)?","answer":"<p>CNNs find applications in image classification, object detection, semantic segmentation, and image generation. They can be used for numerous visual data analysis tasks.<\/p>"},{"question":"What problems do Convolutional Neural Networks (CNN) face?","answer":"<p>CNNs may encounter overfitting and require significant computational resources for deep networks. However, solutions such as data augmentation, regularization, and model compression can address these issues.<\/p>"},{"question":"How can proxy servers be associated with Convolutional Neural Networks (CNN)?","answer":"<p>Proxy servers can enhance CNN usage by anonymizing data collection requests, protecting privacy, and load balancing for efficient resource utilization.<\/p>"},{"question":"What is the future outlook for Convolutional Neural Networks (CNN)?","answer":"<p>CNNs continue to advance with real-time applications, improved explainability, transfer learning, and continual learning capabilities. Their potential impact spans across various industries.<\/p>"},{"question":"Where can I find more information about Convolutional Neural Networks (CNN)?","answer":"<p>For more in-depth knowledge, you can explore resources like the \"Deep Learning Book,\" Stanford CS231n, and Towards Data Science articles on CNNs. As a reliable proxy server provider, OneProxy brings you this comprehensive guide to CNNs and their applications.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/476437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/476437\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/468019"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=476437"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}