\ucd5c\uadfc \uba87 \ub144\uac04 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ube60\ub974\uac8c \uc131\uc7a5\ud574\uc654\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc774 \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c, \ud22c\uc790\uc790\ub4e4\uc740 \ub370\uc774\ud130\uc5d0\uc11c \ub354 \ub9ce\uc740 \ud1b5\ucc30\uc744 \uc5bb\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc804\ud1b5\uc801\uc778 \ubd84\uc11d\ubc95\uc5d0 \ube44\ud574 \ub354 \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc758\uc0ac \uacb0\uc815\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uad6c\ud604\ud558\uace0, \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c RNN(Recurrent Neural Network)\uc6a9 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\ud574<\/h2>\n
\uc804\ud1b5\uc801\uc778 \ud2b8\ub808\uc774\ub529 \ubc29\uc2dd\uc740 \uc778\uac04 \ud22c\uc790\uc790\uc758 \uc9c1\uad00\uacfc \uacbd\ud5d8\uc5d0 \uc758\uc874\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc8fc\uc2dd, \uc678\ud658, \uc120\ubb3c \ub4f1\uc758 \uac70\ub798\ub97c \uc790\ub3d9\uc73c\ub85c \uc218\ud589\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc811\uadfc \ubc29\uc2dd\uc740 \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \ubd84\uc11d\ud558\uace0, \uc2dc\uc7a5\uc758 \ubcc0\ub3d9\uc131\uc744 \ubc18\uc601\ud558\ub294 \ub370 \ud070 \uc7a5\uc810\uc744 \uac00\uc9d1\ub2c8\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc8fc\uc694 \ubaa9\ud45c\ub294 \ub9ac\uc2a4\ud06c\ub97c \ucd5c\uc18c\ud654\ud558\uba74\uc11c \uc218\uc775\uc744 \uadf9\ub300\ud654\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
1.1 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uc5ed\ud560<\/h3>\n
\uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc740 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ud328\ud134\uc744 \uc778\uc2dd\ud558\uace0 \uc608\uce21\ud558\ub294 \ub2a5\ub825\uc744 \ud0a4\uc6c1\ub2c8\ub2e4. \ud2b9\ud788 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub2e4\uce35 \uc2e0\uacbd\ub9dd\uc744 \ud1b5\ud574 \ube44\uc120\ud615 \uad00\uacc4\ub97c \ud559\uc2b5\ud558\uba70, \ubcf5\uc7a1\ud55c \ub370\uc774\ud130\uc758 \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\ub294 \ub370 \uc720\ub9ac\ud569\ub2c8\ub2e4. \ud22c\uc790 \uc804\ub7b5\uc744 \uac1c\ubc1c\ud560 \ub54c, \uc774\ub7ec\ud55c \ubaa8\ub378\ub4e4\uc740 \uac00\uaca9 \uc608\uce21, \ubd84\ub958 \ubb38\uc81c, \uad70\uc9d1\ud654 \ub4f1\uc758 \ub2e4\uc591\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370 \ud65c\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n
2. \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uc640 RNN\uc758 \uc774\ud574<\/h2>\n
\uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub294 \uc2dc\uac04\uc5d0 \ub530\ub77c \ubcc0\ud654\ud558\ub294 \ub370\uc774\ud130\uc785\ub2c8\ub2e4. \uc8fc\uc2dd \uac00\uaca9, \uac70\ub798\ub7c9, \uc9c0\ud45c \ub4f1\uc740 \ubaa8\ub450 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uc758 \uc608\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub370\uc774\ud130\ub294 \uc2dc\uac04\uc774 \uc911\uc694\ud55c \ud2b9\uc9d5\uc774\ubbc0\ub85c, \uc774\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ucc98\ub9ac\ud558\uae30 \uc704\ud574\uc11c\ub294 RNN\uc774 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n
2.1 RNN\uc758 \uad6c\uc870<\/h3>\n
RNN\uc740 \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \uc124\uacc4\ub41c \uc2e0\uacbd\ub9dd\uc785\ub2c8\ub2e4. \uae30\ubcf8\uc801\uc73c\ub85c RNN\uc740 \uc21c\ud658 \uad6c\uc870\ub97c \uac00\uc9c0\uace0 \uc788\uc5b4 \uc774\uc804\uc758 \ucd9c\ub825\uc744 \ud604\uc7ac\uc758 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \uc2dc\uac04\uc801 \uc758\uc874\uc131\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \uc720\ub9ac\ud569\ub2c8\ub2e4. RNN\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c\uacfc \uac19\uc740 \uacfc\uc815\uc744 \ud1b5\ud574 \uc791\ub3d9\ud569\ub2c8\ub2e4:<\/p>\n
- \n
- \uc785\ub825 \ub370\uc774\ud130\uac00 RNN\uc758 \uac01 \ud0c0\uc784\uc2a4\ud15d\uc5d0 \uc804\ub2ec\ub429\ub2c8\ub2e4.<\/li>\n
- \uac01 \ud0c0\uc784\uc2a4\ud15d\uc5d0\uc11c, RNN\uc740 \uc774\uc804 \uc0c1\ud0dc(hidden state)\uc640 \ud604\uc7ac \uc785\ub825\uc744 \uae30\ubc18\uc73c\ub85c \uc0c8\ub85c\uc6b4 \uc0c1\ud0dc\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/li>\n
- \ub9c8\uc9c0\ub9c9 \ud0c0\uc784\uc2a4\ud15d\uc758 \ucd9c\ub825\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2.2 RNN\uc758 \ud55c\uacc4<\/h3>\n
RNN\uc740 \ud6a8\uacfc\uc801\uc778 \uc2dc\ud000\uc2a4 \ub370\uc774\ud130 \ucc98\ub9ac \ub2a5\ub825\uc744 \uac00\uc9c0\uace0 \uc788\uc9c0\ub9cc, \uae34 \uc2dc\ud000\uc2a4\uc758 \uacbd\uc6b0 \uae30\uc6b8\uae30 \uc18c\uc2e4(vanishing gradient) \ubb38\uc81c\ub97c \uacaa\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 LSTM(Long Short-Term Memory)\uc640 GRU(Gated Recurrent Unit)\uc640 \uac19\uc740 \ubcc0\uc885\ub4e4\uc774 \uac1c\ubc1c\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\ub4e4\uc740 \ub354 \uae34 \uc2dc\ud000\uc2a4\uc758 \uc815\ubcf4\ub3c4 \ud6a8\uacfc\uc801\uc73c\ub85c \uae30\uc5b5\ud558\uace0 \uc0ac\uc6a9\ud560 \uc218 \uc788\uac8c \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n
3. \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c RNN\uc6a9 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\uae30<\/h2>\n
\uc774\uc81c \uc2e4\uc81c\ub85c \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c RNN\uc774 \ud65c\uc6a9\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. \uc8fc\uc694 \ubcc0\ud658 \uc808\ucc28\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac, \uc2dc\ud000\uc2a4 \uc0dd\uc131, \uadf8\ub9ac\uace0 \ud6c8\ub828 \ubc0f \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub85c \ub098\ub204\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
3.1 \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n
\uac00\uc7a5 \uba3c\uc800, \uc6d0\uc2dc \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uc5ec \uacb0\uce21\uce58 \ucc98\ub9ac, \uc815\uaddc\ud654 \uadf8\ub9ac\uace0 \ubcc0\ub3d9\uc131 \ubd84\uc11d\uc744 \uc218\ud589\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacfc\uc815\uc5d0\uc11c \ub370\uc774\ud130\uc758 \ud488\uc9c8\uc744 \ubcf4\uc7a5\ud558\uace0, \uc54c\uace0\ub9ac\uc998\uc758 \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3.1.1 \uacb0\uce21\uce58 \ucc98\ub9ac<\/h4>\n
\uacb0\uce21\uce58\ub294 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uc5d0\uc11c \ud070 \ubb38\uc81c\ub97c \uc77c\uc73c\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uacb0\uce21\uce58\ub97c \ucc98\ub9ac\ud558\uae30 \uc704\ud55c \uc5ec\ub7ec \ubc29\ubc95\uc774 \uc788\uc73c\uba70, \ub2e4\uc74c\uacfc \uac19\uc740 \ubc29\ubc95\ub4e4\uc774 \uc77c\ubc18\uc801\uc785\ub2c8\ub2e4:<\/p>\n
- \n
- \uc120\ud615 \ubcf4\uac04\ubc95: \uacb0\uce21\uac12\uc744 \uc8fc\ubcc0\uc758 \uac12\uc73c\ub85c \ubcf4\uac04\ud558\uc5ec \ucc44\uc6b0\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/li>\n
- \ubbf8\ub514\uc5b4 \ub610\ub294 \ud3c9\uade0 \uc0ac\uc6a9: \uacb0\uce21\uac12\uc744 \ub370\uc774\ud130\uc758 \ud3c9\uade0\uc774\ub098 \ubbf8\ub514\uc548\uc73c\ub85c \ub300\uccb4\ud569\ub2c8\ub2e4.<\/li>\n
- \uc55e\uc120 \uac12 \ub300\uccb4: \uacb0\uce21\uac12\uc744 \ubc14\ub85c \uc55e\uc120 \uac12\uc73c\ub85c \ub300\uccb4\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3.1.2 \ub370\uc774\ud130 \uc815\uaddc\ud654<\/h4>\n
\ubaa8\ub378\uc758 \ud6c8\ub828\uc744 \uc704\ud574 \ub370\uc774\ud130\ub97c \uc815\uaddc\ud654\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. \uc815\uaddc\ud654\ub294 \ub370\uc774\ud130\uc758 \ubc94\uc704\ub97c \ucd95\uc18c\ud558\uc5ec \ubaa8\ub378\uc774 \ub354 \ube60\ub974\uace0 \uc27d\uac8c \uc218\ub834\ud558\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c Min-Max \uc2a4\ucf00\uc77c\ub7ec\ub098 Z-\uc2a4\ucf54\uc5b4 \uc815\uaddc\ud654\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n
3.2 \uc2dc\ud000\uc2a4 \uc0dd\uc131<\/h3>\n
RNN \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c \uc2dc\ud000\uc2a4\ub85c \ubcc0\ud658\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\ub97c \ub530\ub985\ub2c8\ub2e4:<\/p>\n
- \n
- \uc2ac\ub77c\uc774\ub529 \uc708\ub3c4\uc6b0 \uae30\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2dc\uc810 \ub370\uc774\ud130 \uc9d1\ud569\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
- \uac01 \uc2dc\ud000\uc2a4\ub294 \ubaa8\ub378\uc5d0 \uc785\ub825\ub420 \uc218 \uc788\ub294 \uac1c\ubcc4 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uad6c\uc131\ud569\ub2c8\ub2e4.<\/li>\n
- \uc2dc\ud000\uc2a4\uc640 \ub808\uc774\ube14 \ub370\uc774\ud130(\uc608\uce21\ud560 \uac12\uc744 \ub098\ud0c0\ub0b4\ub294 \ub370\uc774\ud130)\ub97c \uc30d\uc73c\ub85c \ub098\ub214\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3.3 \ud6c8\ub828 \ubc0f \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub85c \ub098\ub204\uae30<\/h3>\n
\ub9c8\uc9c0\ub9c9\uc73c\ub85c, \ubcc0\ud658\ub41c \ub370\uc774\ud130\ub97c \ud6c8\ub828 \uc138\ud2b8\uc640 \ud14c\uc2a4\ud2b8 \uc138\ud2b8\ub85c \ubd84\ud560\ud574\uc57c \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c 80% \ub370\uc774\ud130\ub97c \ud6c8\ub828 \uc138\ud2b8\ub85c, 20% \ub370\uc774\ud130\ub97c \ud14c\uc2a4\ud2b8 \uc138\ud2b8\ub85c \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc77c\ubc18\uc801\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4. RNN \ubaa8\ub378 \uad6c\ucd95<\/h2>\n
\ub370\uc774\ud130\uac00 \uc900\ube44\ub418\uba74, \uc774\uc81c RNN \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0 \ud6c8\ub828\ud560 \ucc28\ub840\uc785\ub2c8\ub2e4. TensorFlow\uc640 Keras\ub97c \uc0ac\uc6a9\ud558\uc5ec RNN \ubaa8\ub378\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc18c\uac1c\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
4.1 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58 \ubc0f \uc124\uc815<\/h3>\n
Python \ud658\uacbd\uc5d0\uc11c TensorFlow\uc640 Keras\ub97c \uc124\uce58\ud569\ub2c8\ub2e4:<\/p>\n
pip install tensorflow<\/code><\/pre>\n4.2 RNN \ubaa8\ub378 \uad6c\uc131<\/h3>\n
\ub2e4\uc74c\uc740 \uae30\ubcf8\uc801\uc778 RNN \ubaa8\ub378\uc758 \uad6c\uc131 \uc608\uc2dc\uc785\ub2c8\ub2e4:<\/p>\n
\nimport numpy as np\nimport pandas as pd\nfrom keras.models import Sequential\nfrom keras.layers import SimpleRNN, Dense\n\n# \ubaa8\ub378 \ucd08\uae30\ud654\nmodel = Sequential()\nmodel.add(SimpleRNN(units=50, activation='tanh', input_shape=(X_train.shape[1], X_train.shape[2])))\nmodel.add(Dense(units=1)) # \ucd9c\ub825\uce35\nmodel.compile(optimizer='adam', loss='mean_squared_error')\n <\/code><\/pre>\n4.3 \ubaa8\ub378 \ud6c8\ub828<\/h3>\n
\ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uae30 \uc704\ud574, \uc900\ube44\ub41c \ud6c8\ub828 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4:<\/p>\n
model.fit(X_train, y_train, epochs=100, batch_size=32)<\/code><\/pre>\n5. \ubaa8\ub378 \ud3c9\uac00 \ubc0f \uc608\uce21<\/h2>\n
\ud6c8\ub828\uc774 \uc644\ub8cc\ub41c \ubaa8\ub378\uc744 \ud1b5\ud574 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\uc14b\uc744 \ud3c9\uac00\ud558\uace0 \uc608\uce21 \uac12\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \ub2a5\ub825\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
5.1 \uc608\uce21\uac12 \uc0dd\uc131<\/h3>\n
predicted_values = model.predict(X_test)<\/code><\/pre>\n5.2 \uacb0\uacfc \uc2dc\uac01\ud654<\/h3>\n
\uc608\uce21 \uacb0\uacfc\ub97c \uc2dc\uac01\ud654\ud558\uc5ec \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\nimport matplotlib.pyplot as plt\n\nplt.plot(y_test, color='blue', label='\uc2e4\uc81c \uac00\uaca9')\nplt.plot(predicted_values, color='red', label='\uc608\uce21 \uac00\uaca9')\nplt.title('\ubaa8\ub378 \uc608\uce21')\nplt.xlabel('Time')\nplt.ylabel('Price')\nplt.legend()\nplt.show()\n <\/code><\/pre>\n6. \uacb0\ub860<\/h2>\n
\ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c RNN\uc5d0 \ub9de\ub294 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud65c\uc6a9\uc740 \uc810\uc810 \ub354 \uc911\uc694\ud574\uc9c0\uace0 \uc788\uc73c\uba70, \uc774 \uac19\uc740 \uc811\uadfc \ubc29\ubc95\uc740 \uc815\ub7c9\uc801 \uac70\ub798 \uc804\ub7b5\uc744 \uac1c\ubc1c\ud558\ub294 \ub370 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. RNN \ubaa8\ub378\uc744 \ud1b5\ud574 \uc2dc\uac04\uc801\uc73c\ub85c \uc5f0\uc18d\uc801\uc778 \ub370\uc774\ud130\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ucc98\ub9ac\ud558\uace0 \uc608\uce21\ud558\ub294 \ub2a5\ub825\uc744 \ud0a4\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc790\ub3d9\ud654\ub41c \uac70\ub798 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\uc5ec \ucd5c\uc18c\ud55c\uc758 \ub9ac\uc2a4\ud06c\ub85c \ucd5c\ub300\uc758 \uc218\uc775\uc744 \ucd94\uad6c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ub2e4\uc74c \ub2e8\uacc4\ub85c\ub294 LSTM\uc774\ub098 GRU\uc640 \uac19\uc740 \ubcf4\ub2e4 \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc744 \ud559\uc2b5\ud574\ubcf4\uace0, \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc640 \ud53c\ucc98 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uae30\ubc95\uc73c\ub85c \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ubc29\ubc95\uc744 \ud0d0\uc0c9\ud574\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4. \ub610\ud55c, \uc801\uc6a9\ud55c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uace0 \ud29c\ub2dd\ud558\ub294 \uac83\uc774 \ub9e4\uc6b0 \uc911\uc694\ud558\ub2e4\ub294 \uc810\uc744 \uc78a\uc9c0 \ub9c8\uc2ed\uc2dc\uc624.<\/p>\n