\n\n \uc624\ub298\ub0a0 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uc6b0\ub9ac\uac00 \uc0dd\uac01\ud558\ub294 \uac83\ubcf4\ub2e4 \ud6e8\uc52c \ub354 \ube60\ub978 \uc18d\ub3c4\ub85c \uc9c4\ud589\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub525\ub7ec\ub2dd\uc758 \uc801\uc6a9\uc774 \uc99d\uac00\ud568\uc5d0 \ub530\ub77c \ub370\uc774\ud130\uc758 \uc591\uacfc \ubcf5\uc7a1\uc131\uc774 \uc9c0\uc18d\uc801\uc73c\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc0c1\ud669\uc5d0\uc11c \uc804\uc774 \ud559\uc2b5(Transfer Learning)<\/strong>\uc740 \ubaa8\ub378\uc758 \ud559\uc2b5 \ud6a8\uc728\uc131\uc744 \ub192\uc774\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n1. \uc804\uc774 \ud559\uc2b5\uc758 \uac1c\ub150 \uc774\ud574\ud558\uae30<\/h2>\n
\n \uc804\uc774 \ud559\uc2b5\uc740 \ud558\ub098\uc758 \ubb38\uc81c\uc5d0\uc11c \ud559\uc2b5\ud55c \ub0b4\uc6a9\uc744 \ub2e4\ub978 \ubb38\uc81c\uc5d0 \uc801\uc6a9\ud558\ub294 \uba38\uc2e0\ub7ec\ub2dd \uae30\ubc95\uc785\ub2c8\ub2e4. \ud2b9\ud788, \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \ubbf8\ub9ac \ud559\uc2b5\ud55c \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc5d0 \ub300\ud55c \ud559\uc2b5 \uc18d\ub3c4\ub97c \ub192\uc774\uace0, \ud544\uc694 \ub370\uc774\ud130 \uc591\uc744 \uc904\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc774\ubbf8\uc9c0 \ubd84\ub958 \ubaa8\ub378\uc744 \ud559\uc2b5\ud560 \ub54c, \uc77c\ubc18\uc801\uc73c\ub85c \ub300\uaddc\ubaa8 \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc14b\uc778 ImageNet\uc5d0\uc11c \uc0ac\uc804 \ud559\uc2b5\ud55c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \uc791\uc740 \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub807\uac8c \ud558\uba74 \uc0c8 \ubaa8\ub378\uc758 \uc131\ub2a5\uc774 \uc798\ubabb\ub41c \ucd08\uae30\ud654\ub85c \uc778\ud55c \uc190\uc2e4\uc744 \uc904\uc774\uba70, \ud559\uc2b5 \uc2dc\uac04\uc774 \ub2e8\ucd95\ub429\ub2c8\ub2e4.\n <\/p>\n
2. \uc804\uc774 \ud559\uc2b5\uc758 \ud544\uc694\uc131<\/h2>\n
\n \uc804\uc774 \ud559\uc2b5\uc758 \ud544\uc694\uc131\uc744 \uc774\ud574\ud558\uae30 \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \uba87 \uac00\uc9c0 \uc0c1\ud669\uc744 \uc0dd\uac01\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \ub370\uc774\ud130 \ubd80\uc871:<\/strong> \ud2b9\uc815 \ubb38\uc81c\uc5d0 \ub300\ud55c \ub370\uc774\ud130\uc14b\uc774 \ubd80\uc871\ud55c \uacbd\uc6b0, \uc804\uc774 \ud559\uc2b5\uc744 \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
- \ud559\uc2b5 \uc2dc\uac04 \ub2e8\ucd95:<\/strong> \uc0c8\ub85c\uc6b4 \ubb38\uc81c\uc5d0 \ub300\ud55c \ud559\uc2b5 \uc2dc\uac04\uc774 \ud544\uc694\ud55c \uacbd\uc6b0, \uae30\uc874\uc758 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2dc\uac04\uc744 \uc808\uc57d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
- \uc720\uc0ac\ub3c4 \ud65c\uc6a9:<\/strong> \uc720\uc0ac\ud55c \ub370\uc774\ud130 \ubd84\ud3ec\ub97c \uac00\uc9c4 \uc601\uc5ed\uc5d0\uc11c \ud559\uc2b5\ud55c \ub0b4\uc6a9\uc744 \ub2e4\ub978 \uc601\uc5ed\uc5d0 \uc801\uc6a9\ud558\uc5ec \uc131\ub2a5\uc744 \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3. \uc804\uc774 \ud559\uc2b5\uc758 \uc885\ub958<\/h2>\n
\n \uc804\uc774 \ud559\uc2b5\uc740 \uc5ec\ub7ec \uac00\uc9c0 \uc811\uadfc \ubc29\uc2dd\uc73c\ub85c \ubd84\ub958\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \ub3c4\uba54\uc778 \uc804\uc774:<\/strong> \ud2b9\uc815 \ub3c4\uba54\uc778\uc5d0\uc11c \ud559\uc2b5\ud55c \uc815\ubcf4\ub97c \ub2e4\ub978 \ub3c4\uba54\uc778\uc5d0 \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/li>\n
- \ucd9c\ucc98 \uc9c0\uc2dd \uc804\uc774:<\/strong> A \ubaa8\ub378\uc5d0\uc11c B \ubaa8\ub378\ub85c \uc9c0\uc2dd\uc744 \uc804\uc774\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/li>\n
- \uc791\uc5c5 \uc804\uc774:<\/strong> \ub2e4\uc591\ud55c \uad00\ub828 \uc791\uc5c5\uc5d0\uc11c \uc804\ud30c\ub41c \uc9c0\uc2dd\uc744 \ud65c\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc5d0 \ub300\ud55c \uc131\ub2a5\uc744 \ub192\uc774\ub294 \uac83\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n
4. \uc804\uc774 \ud559\uc2b5 \uacfc\uc815<\/h2>\n
\n \uc804\uc774 \ud559\uc2b5\uc744 \uc218\ud589\ud558\ub294 \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378 \uc120\ud0dd:<\/strong> ImageNet\uacfc \uac19\uc740 \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/li>\n
- \ubaa8\ub378 \uad6c\uc870 \uc218\uc815:<\/strong> \ubb38\uc81c\uc5d0 \ub9de\uac8c \ucd5c\uc885 \ub808\uc774\uc5b4(\uacb0\uacfc \ucd9c\ub825 \ub808\uc774\uc5b4)\ub97c \uc218\uc815\ud569\ub2c8\ub2e4.<\/li>\n
- \ubbf8\uc138 \uc870\uc815:<\/strong> \uc804\uccb4 \ubaa8\ub378 \ub610\ub294 \uc77c\ubd80 \ub808\uc774\uc5b4\ub97c \uc5c5\ub370\uc774\ud2b8\ud558\uae30 \uc704\ud574 \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\uc14b\uc5d0 \ub300\ud574 \uc7ac\ud6c8\ub828\ud569\ub2c8\ub2e4.<\/li>\n
- \ud3c9\uac00:<\/strong> \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uac80\uc99d\ud558\uace0, \ud544\uc694\uc2dc \ud30c\ub77c\ubbf8\ud130\ub97c \uc218\uc815\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n
5. \uc804\uc774 \ud559\uc2b5\uc758 \uc608\uc81c<\/h2>\n
\n \uc774\uc81c \uac04\ub2e8\ud55c \uc608\uc81c\ub97c \ud1b5\ud574 \uc804\uc774 \ud559\uc2b5\uc744 \uc2e4\uc81c\ub85c \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 Keras\uc640 TensorFlow\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc804\uc774 \ud559\uc2b5\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n <\/p>\n
import tensorflow as tf\nfrom tensorflow.keras.applications import VGG16\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Flatten\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\n\n# 1. \uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378 \ub85c\ub4dc (VGG16)\nbase_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n\n# 2. \uc804\uc774 \ud559\uc2b5\uacfc \uc0c8 \ubaa8\ub378 \uad6c\uc131\nmodel = Sequential()\nmodel.add(base_model)\nmodel.add(Flatten())\nmodel.add(Dense(256, activation='relu'))\nmodel.add(Dense(1, activation='sigmoid')) # \uc774\uc9c4 \ubd84\ub958\ub97c \uac00\uc815\n\n# 3. \ucef4\ud30c\uc77c\nmodel.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n\n# 4. \ub370\uc774\ud130 \uc900\ube44 (\ubbf8\ub9ac \uc124\uc815\ub41c \ub514\ub809\ud1a0\ub9ac \uacbd\ub85c \uc0ac\uc6a9)\ntrain_datagen = ImageDataGenerator(rescale=1.0\/255)\ntrain_generator = train_datagen.flow_from_directory(\n 'data\/train',\n target_size=(224, 224),\n batch_size=32,\n class_mode='binary')\n\n# 5. \ubaa8\ub378 \ud559\uc2b5\nmodel.fit(train_generator, epochs=10)\n<\/code><\/pre>\n\n \uc704\uc758 \ucf54\ub4dc\ub294 VGG16 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc774\uc9c4 \ubd84\ub958\ud558\ub294 \uac04\ub2e8\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4. \uc774 \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uae30\ub2a5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4:<\/p>\n
\n\uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378 \ub85c\ub4dc: VGG16 \ubaa8\ub378\uc744 \ub85c\ub4dc\ud558\uace0, \ub9c8\uc9c0\ub9c9 \ub808\uc774\uc5b4\ub97c \uc81c\uc678\ud55c \uad6c\uc870\ub97c \uac00\uc838\uc635\ub2c8\ub2e4.<\/p>\n- \ubaa8\ub378 \uad6c\uc131:<\/strong> VGG16 \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \uc0c8\ub85c\uc6b4 \ubaa8\ub378\uc744 \uad6c\uc131\ud558\uace0 \ucd5c\uc801\uc758 \uacb0\uacfc\ub97c \uc5bb\uae30 \uc704\ud574 \ub808\uc774\uc5b4\ub97c \ucd94\uac00\ud569\ub2c8\ub2e4.<\/li>\n
- \ubaa8\ub378 \ucef4\ud30c\uc77c:<\/strong> \uc801\uc808\ud55c \uc190\uc2e4 \ud568\uc218\uc640 \uc635\ud2f0\ub9c8\uc774\uc800\ub97c \uc124\uc815\ud569\ub2c8\ub2e4.<\/li>\n
- \ub370\uc774\ud130 \uc900\ube44:<\/strong> \uc774\ubbf8\uc9c0\ub97c 0\uc5d0\uc11c 1 \ubc94\uc704\ub85c \uc815\uaddc\ud654\ud558\uace0, \ub370\uc774\ud130 \uc0dd\uc131\uae30\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5 \ub370\uc774\ud130\ub97c \ubd88\ub7ec\uc635\ub2c8\ub2e4.<\/li>\n
- \ubaa8\ub378 \ud559\uc2b5:<\/strong> \ud559\uc2b5 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n<\/li<\/ul>\n<\/p>\n
6. \uc804\uc774 \ud559\uc2b5\uc758 \ud65c\uc6a9 \ubd84\uc57c<\/h2>\n
\n \uc804\uc774 \ud559\uc2b5\uc740 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uba87 \uac00\uc9c0 \uc8fc\uc694 \ud65c\uc6a9 \uc0ac\ub840\uc785\ub2c8\ub2e4:<\/p>\n
\n- \uc790\uc5f0\uc5b4 \ucc98\ub9ac:<\/strong> GPT, BERT\uc640 \uac19\uc740 \uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc774\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8 \ubd84\ub958, \uac10\uc815 \ubd84\uc11d \ub4f1\uc5d0 \uc801\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n
- \uc774\ubbf8\uc9c0 \ucc98\ub9ac:<\/strong> \uc774\ubbf8\uc9c0 \ubd84\ub958, \uac1d\uccb4 \ud0d0\uc9c0, \uc138\ubd84\ud654 \uc791\uc5c5\uc5d0\uc11c \uc804\uc774 \ud559\uc2b5\uc744 \ud65c\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n
- \uc74c\uc131 \uc778\uc2dd:<\/strong> \uc74c\uc131 \uc778\uc2dd \ubaa8\ub378\uc744 \uc0ac\uc804 \ud559\uc2b5\ud558\uc5ec \ub2e4\uc591\ud55c \uc74c\uc131 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc131\ub2a5\uc744 \uac1c\uc120\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
7. \uacb0\ub860<\/h2>\n
\n \uc804\uc774 \ud559\uc2b5\uc740 \ub370\uc774\ud130 \ubd80\uc871 \ubb38\uc81c\ub97c \uadf9\ubcf5\ud558\uace0, \ud559\uc2b5 \ud6a8\uc728\uc131\uc744 \ub192\uc77c \uc218 \uc788\ub294 \uac15\ub825\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc2e4\uc9c8\uc801\uc778 \uc131\ub2a5 \ud5a5\uc0c1\uacfc \ud568\uaed8 \uc6b4\uc601 \ube44\uc6a9\uc744 \uc808\uac10\ud560 \uc218 \uc788\ub294 \uae30\ud68c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc804\uc774 \ud559\uc2b5\uc740 \ud604\uc7ac\uc758 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc5f0\uad6c\uc5d0\uc11c \uc911\uc694\ud55c \uae30\uc220\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub354 \ub098\uc740 \uc131\ub2a5\uc758 \ubaa8\ub378\uc744 \ube60\ub974\uac8c \uac1c\ubc1c\ud558\uace0, \uc2e4\uc81c \ubb38\uc81c \ud574\uacb0\uc5d0 \uae30\uc5ec\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n<\/article>\n
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\uc624\ub298\ub0a0 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uc6b0\ub9ac\uac00 \uc0dd\uac01\ud558\ub294 \uac83\ubcf4\ub2e4 \ud6e8\uc52c \ub354 \ube60\ub978 \uc18d\ub3c4\ub85c \uc9c4\ud589\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub525\ub7ec\ub2dd\uc758 \uc801\uc6a9\uc774 \uc99d\uac00\ud568\uc5d0 \ub530\ub77c \ub370\uc774\ud130\uc758 \uc591\uacfc \ubcf5\uc7a1\uc131\uc774 \uc9c0\uc18d\uc801\uc73c\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc0c1\ud669\uc5d0\uc11c \uc804\uc774 \ud559\uc2b5(Transfer Learning)\uc740 \ubaa8\ub378\uc758 \ud559\uc2b5 \ud6a8\uc728\uc131\uc744 \ub192\uc774\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. 1. \uc804\uc774 \ud559\uc2b5\uc758 \uac1c\ub150 \uc774\ud574\ud558\uae30 \uc804\uc774 \ud559\uc2b5\uc740 \ud558\ub098\uc758 \ubb38\uc81c\uc5d0\uc11c \ud559\uc2b5\ud55c \ub0b4\uc6a9\uc744 \ub2e4\ub978 \ubb38\uc81c\uc5d0 \uc801\uc6a9\ud558\ub294 \uba38\uc2e0\ub7ec\ub2dd \uae30\ubc95\uc785\ub2c8\ub2e4. \ud2b9\ud788, … \ub354 \ubcf4\uae30 “23. \uc804\uc774 \ud559\uc2b5(Transfer Learning)\uc73c\ub85c \ud559\uc2b5 \ud6a8\uc728\uc131 \ub192\uc774\uae30, \uc804\uc774 \ud559\uc2b5\uc758 \uac1c\ub150\uacfc \ud65c\uc6a9 \ubc29\ubc95”<\/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":[213],"tags":[],"class_list":["post-40436","post","type-post","status-publish","format-standard","hentry","category-213"],"yoast_head":"\n23. \uc804\uc774 \ud559\uc2b5(Transfer Learning)\uc73c\ub85c \ud559\uc2b5 \ud6a8\uc728\uc131 \ub192\uc774\uae30, \uc804\uc774 \ud559\uc2b5\uc758 \uac1c\ub150\uacfc \ud65c\uc6a9 \ubc29\ubc95 - 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