\uc644\uc804 \uc5f0\uacb0 \uce35: \ucd5c\uc885 \uacb0\uacfc\ub97c \ub3c4\ucd9c\ud568<\/li>\n<\/ul>\n5. CNN\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac<\/h2>\n
CNN\uc740 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uae30 \uc704\ud574 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc73c\ub85c \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud14d\uc2a4\ud2b8 \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \ubb38\uc7a5 \uc720\uc0ac\ub3c4 \uce21\uc815 \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
5.1 \ud14d\uc2a4\ud2b8 \ubd84\ub958\uc5d0\uc11c\uc758 CNN \ud65c\uc6a9<\/h3>\n
\ud14d\uc2a4\ud2b8 \ubd84\ub958\ub294 \uc8fc\uc5b4\uc9c4 \ud14d\uc2a4\ud2b8\uac00 \uc5b4\ub5a4 \uce74\ud14c\uace0\ub9ac\uc5d0 \uc18d\ud558\ub294\uc9c0\ub97c \uc608\uce21\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. CNN\uc740 \ubb38\uc7a5\uc758 \uc9c0\uc5ed\uc801 \ud2b9\uc9d5\uc744 \uc798 \ud3ec\ucc29\ud558\ubbc0\ub85c, \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubb38\uc81c\uc5d0\uc11c \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n
5.2 \uac10\uc815 \ubd84\uc11d\uc5d0\uc11c\uc758 CNN \ud65c\uc6a9<\/h3>\n
\uac10\uc815 \ubd84\uc11d\uc740 \uc8fc\uc5b4\uc9c4 \ubb38\uc7a5\uc758 \uac10\uc815(\uae0d\uc815\uc801, \ubd80\uc815\uc801, \uc911\ub9bd\uc801)\uc744 \ubd84\ub958\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. CNN\uc744 \uc0ac\uc6a9\ud558\uba74 \ub2e8\uc5b4\uc758 \uc9c0\uc5ed\uc801 \ud328\ud134\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ud559\uc2b5\ud558\uc5ec \ub192\uc740 \uc131\ub2a5\uc744 \uae30\ub300\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
6. CNN \ubaa8\ub378 \uad6c\ucd95<\/h2>\n
\ubcf8 \uc139\uc158\uc5d0\uc11c\ub294 CNN \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc744 \uc18c\uac1c\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uac04\ub2e8\ud55c CNN \ubaa8\ub378\uc744 \uad6c\ud604\ud558\uae30 \uc704\ud55c \uae30\ubcf8\uc801\uc778 \ub2e8\uacc4\uc785\ub2c8\ub2e4.<\/p>\n
6.1 \ub370\uc774\ud130 \uc900\ube44<\/h3>\n
\uba3c\uc800, \uc0ac\uc6a9\ud560 \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud574\uc57c \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uac01 \ud14d\uc2a4\ud2b8\ub294 \uac10\uc815 \ub610\ub294 \uce74\ud14c\uace0\ub9ac\uc5d0 \ub808\uc774\ube14\uc774 \ub2ec\ub9b0 \ud615\ud0dc\ub85c \uc81c\uacf5\ub429\ub2c8\ub2e4.<\/p>\n
6.2 \ud1a0\ud070\ud654 \ubc0f \ud328\ub529<\/h3>\n
\ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc801\uc808\ud55c \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\uae30 \uc704\ud574, \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ud558\uace0, \uc77c\uc815\ud55c \uae38\uc774\ub85c \ud328\ub529\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
6.3 \ubaa8\ub378 \uad6c\uc131<\/h3>\n
\ud569\uc131\uacf1 \uce35 \ubc0f \ud480\ub9c1 \uce35\uc744 \ud3ec\ud568\ud558\ub294 CNN \ubaa8\ub378\uc744 \uad6c\uc131\ud574\uc57c \ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c\uacfc \uac19\uc740 \ubc29\uc2dd\uc73c\ub85c \ubaa8\ub378\uc744 \uad6c\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\nimport tensorflow as tf\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Embedding\n\nmodel = Sequential()\nmodel.add(Embedding(input_dim=vocab_size, output_dim=embedding_dim, input_length=max_length))\nmodel.add(Conv1D(filters=128, kernel_size=5, activation='relu'))\nmodel.add(MaxPooling1D(pool_size=2))\nmodel.add(Flatten())\nmodel.add(Dense(units=1, activation='sigmoid'))\nmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n <\/code><\/pre>\n6.4 \ubaa8\ub378 \ud559\uc2b5<\/h3>\n
\uad6c\uc131\ud55c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4. \uc801\uc808\ud55c \uc5d0\ud3ec\ud06c \uc218\uc640 \ubc30\uce58 \ud06c\uae30\ub97c \uc124\uc815\ud558\uc5ec \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
6.5 \ubaa8\ub378 \ud3c9\uac00<\/h3>\n
\ud6c8\ub828\uc774 \uc644\ub8cc\ub41c \ud6c4, \ud559\uc2b5\ud55c \ubaa8\ub378\uc744 \ud3c9\uac00\ud558\uc5ec \uc131\ub2a5\uc744 \uac80\uc99d\ud574\uc57c \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc815\ud655\uc131, \uc815\ubc00\ub3c4, \uc7ac\ud604\uc728 \ub4f1\uc758 \uc9c0\ud45c\ub97c \ud655\uc778\ud569\ub2c8\ub2e4.<\/p>\n
7. \ub525 \ub7ec\ub2dd \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubbf8\ub798<\/h2>\n
\ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc55e\uc73c\ub85c\ub3c4 \uacc4\uc18d \ubc1c\uc804\ud560 \uac83\uc785\ub2c8\ub2e4. \ub354\uc6b1 \ub2e4\uc591\ud558\uace0 \uc815\uad50\ud55c \ubaa8\ub378\ub4e4\uc774 \ub4f1\uc7a5\ud560 \uac83\uc774\uba70, \uc774\ub85c \uc778\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc801\uc6a9 \ubc94\uc704\ub3c4 \ub113\uc5b4\uc9c8 \uac83\uc785\ub2c8\ub2e4. \uc0ac\uc6a9\uc790\uc640\uc758 \uc0c1\ud638\uc791\uc6a9, \uc815\ubcf4 \uac80\uc0c9, \ubc88\uc5ed \ubc0f \ub2e4\uc591\ud55c \ube44\uc988\ub2c8\uc2a4 \ud658\uacbd\uc5d0\uc11c\ub3c4 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud65c\uc6a9\uc774 \ub354\uc6b1 \ub354 \uc911\uc694\ud574\uc9c8 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
8. \uacb0\ub860<\/h2>\n
\uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\uc640 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN)\uc758 \uad6c\uc870 \ubc0f \ud65c\uc6a9 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0 \ud601\uc2e0\uc744 \uac00\uc838\uc654\uc73c\uba70, \uc55e\uc73c\ub85c\ub3c4 \uc0c8\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4\uac08 \uac83\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc744 \uc798 \uc774\ud574\ud558\uace0 \ud65c\uc6a9\ud558\ub294 \uac83\uc774 \uc911\uc694\ud558\uba70, \uc9c0\uc18d\uc801\uc778 \ud559\uc2b5\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n
\ub525 \ub7ec\ub2dd\uc744 \ud1b5\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub294 \uc6b0\ub9ac \uc0dd\ud65c\uacfc \ube44\uc988\ub2c8\uc2a4\uc5d0 \ub9ce\uc740 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 \uc774 \ubd84\uc57c\uc5d0 \ub300\ud55c \uc5f0\uad6c\uc640 \uac1c\ubc1c\uc740 \uacc4\uc18d\ub420 \uac83\uc774\uba70, \uadf8 \uacb0\uacfc\ub294 \uc778\ub958\uc758 \uc0b6\uc5d0 \ud070 \uc601\ud5a5\uc744 \ubbf8\uce60 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/section>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
1. \uc11c\ub860 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uba38\uc2e0\ub7ec\ub2dd(ML) \uae30\uc220\ub4e4\uc774 \ube44\uc57d\uc801\uc73c\ub85c \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c, \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uadf8 \uc911\uc694\uc131\uc744 \ub354\uc6b1\ub354 \ub354\ud574\uac00\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\uba70 \ud65c\uc6a9\ud558\ub294 \uae30\uc220\ub85c, \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc624\ub298\ub0a0\uc5d0\ub294 \ud2b9\ud788 \ub525 \ub7ec\ub2dd \uae30\ubc95\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc911\uc2ec\uc5d0 \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\ubc95\uacfc \uadf8 \uc911\uc5d0\uc11c \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(Convolutional Neural Network, CNN)\uc5d0 \ub300\ud574 \uae4a\uc774 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd”<\/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":[16],"tags":[],"class_list":["post-25335","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd - 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