{"id":25337,"date":"2024-10-26T09:54:12","date_gmt":"2024-10-26T09:54:12","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25337"},"modified":"2024-11-26T08:02:07","modified_gmt":"2024-11-26T08:02:07","slug":"11-02-%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac%eb%a5%bc-%ec%9c%84%ed%95%9c-1d-cn","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25337\/","title":{"rendered":"11-02 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c 1D CNN(1D Convolutional Neural Networks)"},"content":{"rendered":"<p>\ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ud604\ub300\uc758 \uc778\uacf5\uc9c0\ub2a5 \uc5f0\uad6c\uc5d0\uc11c \ube60\ub974\uac8c \uc131\uc7a5\ud558\uace0 \uc788\ub294 \ubd84\uc57c \uc911 \ud558\ub098\ub85c, \ub370\uc774\ud130 \ubd84\uc11d\uacfc \uc5b8\uc5b4 \ubaa8\ub378\ub9c1\uc744 \ud1b5\ud574 \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4. 1D CNN(1D Convolutional Neural Networks)\uc740 \uc774\ub7ec\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ub420 \uc218 \uc788\ub294 \uac15\ub825\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uadf8\ub9ac\uace0 1D CNN\uc758 \uae30\ucd08\ubd80\ud130 \uc751\uc6a9 \uc0ac\ub840\uae4c\uc9c0 \uc0c1\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc30\uacbd<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. NLP\uc758 \uae30\ubcf8 \ubaa9\ud45c\ub294 \ud14d\uc2a4\ud2b8\ub098 \uc74c\uc131 \ub370\uc774\ud130\uc5d0\uc11c \uc758\ubbf8\ub97c \ucd94\ucd9c\ud558\uace0 \uc774\ub97c \ud1b5\ud574 \uc778\uac04\uacfc \ucef4\ud4e8\ud130 \uac04\uc758 \uc0c1\ud638\uc791\uc6a9\uc744 \uac1c\uc120\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. NLP\uc758 \uc8fc\uc694 \uc751\uc6a9 \ubd84\uc57c\uc5d0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uac83\ub4e4\uc774 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uae30\uacc4 \ubc88\uc5ed<\/li>\n<li>\uac10\uc815 \ubd84\uc11d<\/li>\n<li>\uc9c8\ubb38 \uc751\ub2f5 \uc2dc\uc2a4\ud15c<\/li>\n<li>\ud14d\uc2a4\ud2b8 \uc694\uc57d<\/li>\n<li>\ub300\ud654\ud615 \uc2dc\uc2a4\ud15c<\/li>\n<\/ul>\n<h2>2. \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804<\/h2>\n<p>\ub525 \ub7ec\ub2dd\uc740 \uc778\uacf5 \uc2e0\uacbd\ub9dd(Artificial Neural Networks, ANN)\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uae30\uacc4 \ud559\uc2b5\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \uc5ec\ub7ec \uce35\uc758 \uc2e0\uacbd\ub9dd\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uace0 \ud559\uc2b5\ud560 \uc218 \uc788\ub294 \ub2a5\ub825\uc744 \uac00\uc9c0\uace0 \uc788\uc73c\uba70, \uace0\ucc28\uc6d0 \ub370\uc774\ud130\uc758 \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \uc778\uc2dd\ud558\ub294 \ub370 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4. 2010\ub144\ub300 \ucd08\ubc18, \ub525 \ub7ec\ub2dd \uae30\uc220\uc774 \ubc1c\uc804\ud558\uba74\uc11c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ud070 \ud601\uc2e0\uc774 \uc774\ub8e8\uc5b4\uc84c\uc2b5\ub2c8\ub2e4. \uc804\ud1b5\uc801\uc778 NLP \uae30\uc220\ub4e4\uc740 \uaddc\uce59 \uae30\ubc18\uc758 \uc811\uadfc \ubc29\uc2dd\uc774\ub098 \ud1b5\uacc4 \uae30\ubc18 \ubaa8\ub378\uc5d0 \uc758\uc874\ud588\uc9c0\ub9cc, \ub525 \ub7ec\ub2dd\uc758 \ub3c4\uc785 \uc774\ud6c4 \uc774\ub7ec\ud55c \ud55c\uacc4\uac00 \ud06c\uac8c \uc904\uc5b4\ub4e4\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. 1D CNN\uc758 \uac1c\uc694<\/h2>\n<p>1D CNN\uc740 \ud2b9\uc815\ud55c \uad6c\uc870\uc758 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd\uc73c\ub85c, \uc8fc\ub85c \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc801\ud569\ud569\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ubb38\uc7a5\uc774\ub098 \ub2e8\uc5b4\ub97c 1D \uc2dc\ud000\uc2a4\ub85c \ud45c\ud604\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ub2e4\uc591\ud55c \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. 1D CNN\uc758 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\ud569\uc131\uacf1 \ub808\uc774\uc5b4<\/strong>: \uc785\ub825 \ub370\uc774\ud130\uc5d0 \ud544\ud130\ub97c \uc801\uc6a9\ud558\uc5ec \ud2b9\uc9d5 \ub9f5(Feature Map)\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ub370\uc774\ud130\uc758 \uc9c0\uc5ed\uc801\uc778 \ud328\ud134\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud480\ub9c1 \ub808\uc774\uc5b4<\/strong>: \ud2b9\uc9d5 \ub9f5\uc758 \ucc28\uc6d0\uc744 \uc904\uc774\uba74\uc11c \uc911\uc694\ud55c \ud2b9\uc9d5\uc744 \ubcf4\uc874\ud569\ub2c8\ub2e4. \uc774\ub294 \uc624\ubc84\ud53c\ud305\uc744 \ubc29\uc9c0\ud558\uace0 \ubaa8\ub378\uc758 \ubcf5\uc7a1\uc131\uc744 \uc904\uc774\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/li>\n<li><strong>\uc644\uc804 \uc5f0\uacb0 \ub808\uc774\uc5b4<\/strong>: \ucd5c\uc885\uc801\uc778 \ubd84\ub958\ub97c \uc704\ud55c \ub2e8\uacc4\ub85c, \ucd9c\ub825\uce35\uc744 \ud1b5\ud574 \ucd5c\uc885 \uc608\uce21 \uacb0\uacfc\uac00 \ub3c4\ucd9c\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>4. 1D CNN\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac<\/h2>\n<p>1D CNN\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0 \ud6a8\uacfc\uc801\uc73c\ub85c \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud14d\uc2a4\ud2b8 \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uadf8\ub9ac\uace0 \ubb38\uc7a5 \uc720\uc0ac\ub3c4 \uce21\uc815 \ub4f1\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ub2e4\uc74c\uc740 1D CNN\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uba87 \uac00\uc9c0 \uc0ac\ub840\uc785\ub2c8\ub2e4:<\/p>\n<h3>4.1 \ud14d\uc2a4\ud2b8 \ubd84\ub958<\/h3>\n<p>1D CNN\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\uba54\uc77c \uc2a4\ud338 \ud544\ud130\ub9c1, \ub274\uc2a4 \uae30\uc0ac \ubd84\ub958 \ub4f1 \ub2e4\uc591\ud55c \ud14d\uc2a4\ud2b8 \ubd84\ub958 \uc791\uc5c5\uc5d0 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc785\ub825 \ub370\uc774\ud130\ub85c\uc368 \ub2e8\uc5b4 \uc784\ubca0\ub529(Word Embedding) \uae30\uc220\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc73c\uba70, \uac01 \ub2e8\uc5b4\ub97c \uace0\uc720 \ubca1\ud130\ub85c \ubcc0\ud658\ud558\uc5ec \ubb38\uc7a5\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uadf8 \ud6c4, \ud569\uc131\uacf1 \ub808\uc774\uc5b4\ub97c \ud1b5\ud574 \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\uace0, \ud480\ub9c1 \ub808\uc774\uc5b4\ub97c \uac70\uccd0 \ubd84\ub958 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n<h3>4.2 \uac10\uc815 \ubd84\uc11d<\/h3>\n<p>\uac10\uc815 \ubd84\uc11d\uc740 \uc8fc\uc5b4\uc9c4 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc5d0\uc11c \uae0d\uc815\uc801 \ub610\ub294 \ubd80\uc815\uc801\uc778 \uac10\uc815\uc744 \ucd94\ucd9c\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. 1D CNN\uc740 \ubb38\uc7a5\uc5d0\uc11c \uac10\uc815\uc5d0 \ud574\ub2f9\ud558\ub294 \ud2b9\uc9d5\uc744 \ud559\uc2b5\ud558\uc5ec \ube68\ub9ac \ubcc0\ud654\ud558\ub294 \ud328\ud134\uc744 \uc778\uc2dd\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, &#8220;\uc774 \uc81c\ud488\uc740 \ub108\ubb34 \uc88b\uc2b5\ub2c8\ub2e4!&#8221;\uc640 \uac19\uc740 \ubb38\uc7a5\uc5d0\uc11c \uae0d\uc815\uc801\uc778 \uac10\uc815\uc744 \uc27d\uac8c \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>5. 1D CNN\uc758 \uc7a5\ub2e8\uc810<\/h2>\n<p>1D CNN\uc758 \uac15\ub825\ud568\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0, \ub2e4\uc74c\uacfc \uac19\uc740 \uc7a5\ub2e8\uc810\uc774 \uc874\uc7ac\ud569\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc7a5\uc810<\/strong>:<\/li>\n<ul>\n<li>\uc9c0\uc5ed\uc801\uc778 \ud2b9\uc9d5\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ucd94\ucd9c<\/li>\n<li>\ub192\uc740 \ud6a8\uc728\uc131\uacfc \ucc98\ub9ac \uc18d\ub3c4<\/li>\n<li>\uc624\ubc84\ud53c\ud305 \ubc29\uc9c0\uc5d0 \uc720\ub9ac\ud568<\/li>\n<\/ul>\n<li><strong>\ub2e8\uc810<\/strong>:<\/li>\n<ul>\n<li>\uc7a5\uae30 \uc758\uc874\uc131(long-term dependency) \ubb38\uc81c \ud574\uacb0\uc774 \uc5b4\ub835\ub2e4<\/li>\n<li>\uc5b4\ud718\uc758 \uc758\ubbf8\ub97c \uc815\ud655\ud788 \uc774\ud574\ud558\uae30 \uc704\ud55c Embedding\uc774 \ud544\uc694<\/li>\n<\/ul>\n<\/ul>\n<h2>6. 1D CNN \uad6c\ud604\ud558\uae30<\/h2>\n<p>\uc774\uc81c 1D CNN\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. TensorFlow\uc640 Keras\ub97c \uc774\uc6a9\ud55c \uac04\ub2e8\ud55c \uc608\uc81c\ub97c \ud1b5\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 IMDB \uc601\ud654 \ub9ac\ubdf0 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac10\uc815 \ubd84\uc11d \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \uc608\uc785\ub2c8\ub2e4:<\/p>\n<pre><code>\nimport numpy as np\nfrom keras.datasets import imdb\nfrom keras.preprocessing.sequence import pad_sequences\nfrom keras.models import Sequential\nfrom keras.layers import Embedding, Conv1D, GlobalMaxPooling1D, Dense\n\n# IMDB \ub370\uc774\ud130\uc14b \ub85c\ub4dc\n(X_train, y_train), (X_test, y_test) = imdb.load_data(num_words=10000)\n\n# \ub370\uc774\ud130 \ud328\ub529\nmaxlen = 500\nX_train = pad_sequences(X_train, maxlen=maxlen)\nX_test = pad_sequences(X_test, maxlen=maxlen)\n\n# \ubaa8\ub378 \uad6c\ucd95\nmodel = Sequential()\nmodel.add(Embedding(10000, 128, input_length=maxlen))\nmodel.add(Conv1D(64, 5, activation='relu'))\nmodel.add(GlobalMaxPooling1D())\nmodel.add(Dense(1, activation='sigmoid'))\n\n# \ubaa8\ub378 \ucef4\ud30c\uc77c\nmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n\n# \ubaa8\ub378 \ud559\uc2b5\nmodel.fit(X_train, y_train, validation_data=(X_test, y_test), epochs=5, batch_size=32)\n<\/code><\/pre>\n<p>\uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c\ub294 IMDB \uc601\ud654 \ub9ac\ubdf0 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uae0d\uc815\uc801\uc778 \ub9ac\ubdf0\uc640 \ubd80\uc815\uc801\uc778 \ub9ac\ubdf0\ub97c \ubd84\ub958\ud558\ub294 1D CNN \ubaa8\ub378\uc744 \uad6c\ucd95\ud569\ub2c8\ub2e4. \uba3c\uc800 \ub370\uc774\ud130\uc14b\uc744 \ub85c\ub4dc\ud55c \ud6c4, \uac01 \ub9ac\ubdf0\ub97c \ucd5c\ub300 500 \ub2e8\uc5b4\ub85c \ud328\ub529\ud569\ub2c8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c, Embedding \ub808\uc774\uc5b4, Conv1D \ub808\uc774\uc5b4 \ubc0f GlobalMaxPooling1D \ub808\uc774\uc5b4\ub97c \ucd94\uac00\ud558\uc5ec \ubaa8\ub378\uc744 \uad6c\uc131\ud569\ub2c8\ub2e4. \ub9c8\uc9c0\ub9c9\uc73c\ub85c, \ubaa8\ub378\uc744 \ucef4\ud30c\uc77c\ud558\uace0 \ud559\uc2b5\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4.<\/p>\n<h2>7. \uacb0\ub860<\/h2>\n<p>\ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubc0f 1D CNN\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. 1D CNN\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc5ec\ub7ec \uc791\uc5c5\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub418\uba70, \uc9c0\uc5ed\uc801\uc778 \ud2b9\uc9d5 \ud559\uc2b5\uc5d0 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c \ud574\uacb0 \ubc0f \uc815\ud655\ud55c \uc784\ubca0\ub529\uc744 \uc704\ud55c \uc9c0\uc18d\uc801\uc778 \uc5f0\uad6c\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 \uc774 \ubd84\uc57c\uc758 \ubc1c\uc804\uc774 \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0 \ub300\ud55c \ud765\ubbf8\uc640 \uc774\ud574\ub97c \ubc14\ud0d5\uc73c\ub85c, \ub354 \ub9ce\uc740 \ud504\ub85c\uc81d\ud2b8\uc640 \uc5f0\uad6c\ub97c \uc2dc\ud589\ud558\uae38 \ubc14\ub78d\ub2c8\ub2e4. \uc774 \uae00\uc774 \uc5ec\ub7ec\ubd84\uc5d0\uac8c \ub3c4\uc6c0\uc774 \ub418\uc5c8\uae30\ub97c \ubc14\ub77c\uba70, \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc138\uacc4\ub85c\uc758 \ud0d0\ud5d8\uc744 \uacc4\uc18d\ud574 \ub098\uac00\uc2dc\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ud604\ub300\uc758 \uc778\uacf5\uc9c0\ub2a5 \uc5f0\uad6c\uc5d0\uc11c \ube60\ub974\uac8c \uc131\uc7a5\ud558\uace0 \uc788\ub294 \ubd84\uc57c \uc911 \ud558\ub098\ub85c, \ub370\uc774\ud130 \ubd84\uc11d\uacfc \uc5b8\uc5b4 \ubaa8\ub378\ub9c1\uc744 \ud1b5\ud574 \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4. 1D CNN(1D Convolutional Neural Networks)\uc740 \uc774\ub7ec\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ub420 \uc218 \uc788\ub294 \uac15\ub825\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uadf8\ub9ac\uace0 1D CNN\uc758 \uae30\ucd08\ubd80\ud130 \uc751\uc6a9 \uc0ac\ub840\uae4c\uc9c0 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/25337\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;11-02 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c 1D CNN(1D Convolutional Neural 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