{"id":25231,"date":"2024-10-26T09:53:12","date_gmt":"2024-10-26T09:53:12","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25231"},"modified":"2024-11-26T08:02:27","modified_gmt":"2024-11-26T08:02:27","slug":"06-04-%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%eb%8f%99-%eb%af%b8%eb%b6%84%ea%b3%bc-%ec%84%a0%ed%98%95-%ed%9a%8c","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25231\/","title":{"rendered":"06-04 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc790\ub3d9 \ubbf8\ubd84\uacfc \uc120\ud615 \ud68c\uadc0 \uc2e4\uc2b5"},"content":{"rendered":"<div class=\"post\">\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uc2ec\uce35 \uc2e0\uacbd\ub9dd(Deep Neural Networks)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 NLP \ubd84\uc57c\ub3c4 \ube60\ub974\uac8c \ubc1c\uc804\ud574 \uc654\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\ub150\uacfc \ud568\uaed8, \uc790\ub3d9 \ubbf8\ubd84 \ubc0f \uc120\ud615 \ud68c\uadc0\uc758 \uc2e4\uc2b5\uc5d0 \ub300\ud574 \uc2ec\ub3c4 \uae4a\uac8c \ub2e4\ub904\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\ub294 \uc5b8\uc5b4\uc758 \uad6c\uc870\uc640 \uc758\ubbf8\ub97c \uc774\ud574\ud558\ub294 \uac83\uc5d0\uc11c \uc2dc\uc791\ub429\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc8fc\uc694 \uacfc\uc81c\ub294 \ud06c\uac8c \ub450 \uac00\uc9c0\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uccab\uc9f8\ub294 \uc5b8\uc5b4\uc758 \uc74c\uc131\uc801, \ubb38\ubc95\uc801 \uc694\uc18c\ub97c \ubd84\uc11d\ud558\ub294 \uac83\uc774\uace0, \ub458\uc9f8\ub294 \uc774\ub7ec\ud55c \uc694\uc18c\ub4e4\uc744 \uae30\ubc18\uc73c\ub85c \uc2e4\uc81c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ud65c\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h3>1.1 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc801\uc6a9 \ubd84\uc57c<\/h3>\n<ul>\n<li>\uc790\ub3d9 \ubc88\uc5ed (Machine Translation): Google Translate\uc640 \uac19\uc740 \uc11c\ube44\uc2a4\ub294 NLP \uae30\uc220\uc744 \ud1b5\ud574 \ub2e4\uc591\ud55c \uc5b8\uc5b4 \uac04\uc758 \uc804\ud658\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.<\/li>\n<li>\uac10\uc815 \ubd84\uc11d (Sentiment Analysis): \uc18c\uc15c \ubbf8\ub514\uc5b4 \ubc0f \ub9ac\ubdf0 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc18c\ube44\uc790 \uac10\uc815\uc744 \ucd94\ub860\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<li>\ud14d\uc2a4\ud2b8 \uc694\uc57d (Text Summarization): \uc5ec\ub7ec\ubd84\uc774 \uad6c\uc785\ud558\uace0\uc790 \ud558\ub294 \uc81c\ud488\uc5d0 \ub300\ud55c \ub9ac\ubdf0\ub97c \ud55c \ub208\uc5d0 \ud655\uc778\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4.<\/li>\n<li>\uc9c8\ubb38 \ub2f5\ubcc0 \uc2dc\uc2a4\ud15c (Question Answering): Siri, Alexa\uc640 \uac19\uc740 \uac00\uc0c1 \ube44\uc11c\uac00 \uc0ac\uc6a9\uc790 \uc9c8\ubb38\uc5d0 \ub2f5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>2. \ub525 \ub7ec\ub2dd\uc758 \uc815\uc758<\/h2>\n<p>\ub525 \ub7ec\ub2dd\uc740 \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \ud328\ud134\uc744 \uc778\uc2dd\ud558\ub294 \uae30\uacc4 \ud559\uc2b5\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ud2b9\ud788, \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uace0 \ud559\uc2b5\ud568\uc73c\ub85c\uc368 \ub192\uc740 \uc815\ud655\ub3c4\ub97c \uc790\ub791\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n<h3>2.1 \uc2e0\uacbd\ub9dd\uc758 \uad6c\uc870<\/h3>\n<p>\ub525 \ub7ec\ub2dd\uc758 \ud575\uc2ec\uc740 \uc2e0\uacbd\ub9dd\uc758 \uce35\uc744 \ud1b5\ud574 \ub370\uc774\ud130\uac00 \ucc98\ub9ac\ub418\ub294 \uac83\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc785\ub825\uce35, \uc740\ub2c9\uce35, \ucd9c\ub825\uce35\uc73c\ub85c \uad6c\uc131\ub418\uba70, \uac01 \uce35\uc740 \uc5ec\ub7ec \uac1c\uc758 \ub274\ub7f0\uc73c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ub274\ub7f0\uc740 \uc774\uc804 \uce35\uc758 \ub274\ub7f0\ub4e4\uacfc \uc5f0\uacb0\ub418\uc5b4 \uc788\uc73c\uba70, \uc774\ub7ec\ud55c \uc5f0\uacb0\uc740 \uac00\uc911\uce58(weight)\ub77c\ub294 \uc218\uce58\ub85c \ud45c\ud604\ub429\ub2c8\ub2e4.<\/p>\n<h3>2.2 \ud65c\uc131\ud654 \ud568\uc218<\/h3>\n<p>\ud65c\uc131\ud654 \ud568\uc218\ub294 \uc785\ub825 \uc2e0\ud638\uc5d0 \uae30\ubc18\ud558\uc5ec \ub274\ub7f0\uc774 \ucd9c\ub825\uc744 \uc0dd\uc131\ud558\ub3c4\ub85d \ud558\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ud65c\uc131\ud654 \ud568\uc218\ub294 ReLU(Rectified Linear Unit), \uc2dc\uadf8\ubaa8\uc774\ub4dc(Sigmoid), Tanh \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ud65c\uc131\ud654 \ud568\uc218\uc5d0 \ub530\ub77c \uc2e0\uacbd\ub9dd\uc758 \uc131\ub2a5\uacfc \ud559\uc2b5\uc18d\ub3c4\uac00 \ub2ec\ub77c\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\uc758 \ub525 \ub7ec\ub2dd \uc811\uadfc\ubc95<\/h2>\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \ub525 \ub7ec\ub2dd \uc811\uadfc\ubc95\uc774 \uc874\uc7ac\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc790\uc8fc \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\ub4e4\uc785\ub2c8\ub2e4.<\/p>\n<h3>3.1 \uc21c\ud658 \uc2e0\uacbd\ub9dd(RNN)<\/h3>\n<p>\uc21c\ud658 \uc2e0\uacbd\ub9dd\uc740 \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \ub9e4\uc6b0 \uac15\ub825\ud55c \ub124\ud2b8\uc6cc\ud06c\uc785\ub2c8\ub2e4. RNN\uc740 \uc774\uc804 \ub2e8\uacc4\uc758 \ucd9c\ub825\uc744 \ud604\uc7ac\uc758 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc5b4, \uc2dc\uac04\uc801\uc778 \uc5f0\uc18d\uc131\uc744 \uac00\uc9c4 \ub370\uc774\ud130\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc804\ud1b5\uc801\uc778 RNN\uc740 \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c\ub97c \uacaa\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.2 \uc7a5\ub2e8\uae30 \uba54\ubaa8\ub9ac \ub124\ud2b8\uc6cc\ud06c(LSTM)<\/h3>\n<p>LSTM\uc740 RNN\uc758 \ud55c \uc885\ub958\ub85c, \uc7a5\uae30 \uae30\uc5b5\uc744 \uac00\ub2a5\ud558\uac8c \ud574 \uc90d\ub2c8\ub2e4. LSTM \uad6c\uc870\ub294 \uc5ec\ub7ec \uac1c\uc758 \uac8c\uc774\ud2b8\ub97c \uac16\uace0 \uc788\uc5b4, \uc911\uc694\ud55c \uc815\ubcf4\ub97c \uc120\ud0dd\ud558\uace0 \ubd88\ud544\uc694\ud55c \uc815\ubcf4\ub97c \uba40\ub9ac\ud560 \uc218 \uc788\ub294 \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud2b9\uc131 \ub355\ubd84\uc5d0 LSTM\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ub192\uc740 \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4.<\/p>\n<h3>3.3 \ubcc0\ud658\uae30(Transformer)<\/h3>\n<p>\ubcc0\ud658\uae30\ub294 \ucd5c\uadfc NLP\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \uc131\uacfc\ub97c \ubcf4\uc5ec\uc8fc\uace0 \uc788\ub294 \uad6c\uc870\ub85c, \uc8fc\ub85c \uc790\uae30 \uc8fc\uc758 \uba54\ucee4\ub2c8\uc998(self-attention mechanism)\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub4e0 \uc785\ub825 \ub2e8\uc5b4 \uac04\uc758 \uad00\uacc4\ub97c \ud55c \ubc88\uc5d0 \uace0\ub824\ud560 \uc218 \uc788\uc5b4, \ubcd1\ub82c \ucc98\ub9ac \ubc0f \uc131\ub2a5 \uba74\uc5d0\uc11c \ub9ce\uc740 \uc7a5\uc810\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 \ubcc0\ud658\uae30 \ubaa8\ub378\ub85c\ub294 BERT, GPT \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>4. \ub525 \ub7ec\ub2dd\uacfc \uc790\ub3d9 \ubbf8\ubd84<\/h2>\n<p>\uc790\ub3d9 \ubbf8\ubd84(Automatic Differentiation)\uc740 \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ud559\uc2b5\uc2dc\ud0a4\uae30 \uc704\ud574 \ud544\uc218\uc801\uc778 \uacfc\uc815\uc785\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc740 \uacbd\ub7c9\ud654\ub41c \uc54c\uace0\ub9ac\uc998\uc73c\ub85c \uac00\uc911\uce58\uc640 \ud3b8\ud5a5\uc744 \ud559\uc2b5\ud558\ub294 \ub3d9\uc548 \uc190\uc2e4 \ud568\uc218\uc758 \ubbf8\ubd84\uac12\uc744 \uae30\ubc18\uc73c\ub85c \uc5c5\ub370\uc774\ud2b8\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c \uc790\ub3d9 \ubbf8\ubd84\uc740 \uc774\ub7ec\ud55c \uacc4\uc0b0\uc744 \uc790\ub3d9\uc73c\ub85c \uc218\ud589\ud574 \uc8fc\uba70, \uc218\uce58\uc801 \ucc28\ubd84\uc758 \ub2e8\uc810\uc744 \uadf9\ubcf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.1 \uc790\ub3d9 \ubbf8\ubd84\uc758 \uc6d0\ub9ac<\/h3>\n<p>\uc790\ub3d9 \ubbf8\ubd84\uc740 \ub450 \uac00\uc9c0 \ubc29\uc2dd\uc73c\ub85c \uc218\ud589\ub429\ub2c8\ub2e4. \uccab \ubc88\uc9f8\ub294 \uc804\ubc29 \uc804\ud30c(Forward Mode) \ubc29\uc2dd\uc73c\ub85c, \uc785\ub825\uc5d0\uc11c \ucd9c\ub825\uc73c\ub85c\uc758 \ubbf8\ubd84\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4. \ub450 \ubc88\uc9f8\ub294 \uc5ed\ubc29\ud5a5 \uc804\ud30c(Backward Mode) \ubc29\uc2dd\uc73c\ub85c, \ucd9c\ub825\uc5d0\uc11c \uc785\ub825\uc73c\ub85c\uc758 \ubbf8\ubd84\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ub525 \ub7ec\ub2dd\uc5d0\uc11c\ub294 \uc5ed\ubc29\ud5a5 \uc804\ud30c \ubc29\uc2dd\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h2>5. \uc120\ud615 \ud68c\uadc0\uc758 \uc774\ud574 \ubc0f \uc2e4\uc2b5<\/h2>\n<p>\uc120\ud615 \ud68c\uadc0(Linear Regression)\ub294 \ud1b5\uacc4\ud559\uc5d0\uc11c \ub9ce\uc774 \uc0ac\uc6a9\ub418\ub294 \uae30\ubcf8\uc801\uc778 \uc608\uce21 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc120\ud615 \ud68c\uadc0\ub294 \uc785\ub825 \ubcc0\uc218(X)\uc640 \ucd9c\ub825 \ubcc0\uc218(Y) \uac04\uc758 \uc120\ud615 \uad00\uacc4\ub97c \ucc3e\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\ub97c \uc608\uce21\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h3>5.1 \uc218\uc2dd\uc73c\ub85c \ud45c\ud604\ub41c \uc120\ud615 \ud68c\uadc0<\/h3>\n<p>\uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc218\uc2dd\uc73c\ub85c \ud45c\ud604\ub429\ub2c8\ub2e4:<\/p>\n<p>Y = \u03b8\u2080 + \u03b8\u2081X\u2081 + \u03b8\u2082X\u2082 + &#8230; + \u03b8\u2096X\u2096<\/p>\n<p>\uc5ec\uae30\uc11c Y\ub294 \uc608\uce21\uac12, \u03b8\ub294 \ubaa8\ub378 \ud30c\ub77c\ubbf8\ud130, X\ub294 \uc785\ub825 \ud2b9\uc131\uc785\ub2c8\ub2e4.<\/p>\n<h3>5.2 \uc190\uc2e4 \ud568\uc218\uc640 \uacbd\uc0ac \ud558\uac15\ubc95<\/h3>\n<p>\ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 \uc190\uc2e4 \ud568\uc218(Loss Function)\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \ub300\ud45c\uc801\uc73c\ub85c \ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28(Mean Squared Error, MSE)\uac00 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \uc190\uc2e4 \ud568\uc218\ub97c \ucd5c\uc18c\ud654\ud558\uae30 \uc704\ud574 \uacbd\uc0ac \ud558\uac15\ubc95(Gradient Descent) \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uacbd\uc0ac \ud558\uac15\ubc95\uc740 \uc190\uc2e4 \ud568\uc218\uc758 \ubbf8\ubd84\uac12\uc744 \ubc14\ud0d5\uc73c\ub85c \ud30c\ub77c\ubbf8\ud130\ub97c \uc5c5\ub370\uc774\ud2b8\ud569\ub2c8\ub2e4.<\/p>\n<h2>6. \uc2e4\uc2b5: \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uc120\ud615 \ud68c\uadc0<\/h2>\n<p>\uc774\uc81c Python\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubc0f \uc120\ud615 \ud68c\uadc0\ub97c \uc2e0\uccad\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 TensorFlow\uc640 Keras \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \uad6c\ucd95\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h3>6.1 \ud658\uacbd \uc124\uc815<\/h3>\n<pre><code>\n# \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58\n!pip install numpy pandas tensorflow\n    <\/code><\/pre>\n<h3>6.2 \ub370\uc774\ud130 \uc900\ube44<\/h3>\n<p>\uba3c\uc800, \uc0ac\uc6a9\ud560 \ub370\uc774\ud130\ub97c \uc900\ube44\ud569\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uacbd\uc6b0, \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc815\uc81c\ud558\uace0 \uc120\ud615 \ud68c\uadc0\uc758 \uacbd\uc6b0, \uac04\ub2e8\ud55c \uc218\uce58 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h3>6.3 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378 \uad6c\ucd95\ud558\uae30<\/h3>\n<pre><code>\nimport numpy as np\nimport pandas as pd\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\n\n# \ub370\uc774\ud130\uc14b \ub85c\ub4dc \ubc0f \uc804\ucc98\ub9ac (\uc608\uc2dc)\ndata = pd.read_csv('text_data.csv')\n# \uc801\uc808\ud788 \ub370\uc774\ud130 \uc815\uc81c \ubc0f \uc804\ucc98\ub9ac \uc218\ud589\n\n# \ubaa8\ub378 \uad6c\uc131\uc744 \uc704\ud55c \ub808\uc774\uc5b4 \ucd94\uac00\nmodel = keras.Sequential()\nmodel.add(layers.Embedding(input_dim=10000, output_dim=128, input_length=100))\nmodel.add(layers.Bidirectional(layers.LSTM(128)))\nmodel.add(layers.Dense(1, activation='sigmoid'))\n\n# \ubaa8\ub378 \ucef4\ud30c\uc77c\nmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n    <\/code><\/pre>\n<h3>6.4 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378 \uad6c\ucd95\ud558\uae30<\/h3>\n<pre><code>\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import mean_squared_error\n\n# \uac04\ub2e8\ud55c \uc608\uc81c \ub370\uc774\ud130\nX = np.array([[1], [2], [3], [4]])\ny = np.array([2, 3, 5, 7])\n\n# \ub370\uc774\ud130 \uc138\ud2b8 \ub098\ub204\uae30\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378 \uc0dd\uc131\nlr_model = LinearRegression()\nlr_model.fit(X_train, y_train)\n\n# \uc608\uce21 \ubc0f \uc131\ub2a5 \ud3c9\uac00\ny_pred = lr_model.predict(X_test)\nmse = mean_squared_error(y_test, y_pred)\nprint(f'Mean Squared Error: {mse}')\n    <\/code><\/pre>\n<h2>7. \uacb0\ub860<\/h2>\n<p>\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubc0f \uc790\ub3d9 \ubbf8\ubd84\uacfc \uc120\ud615 \ud68c\uadc0\uc758 \uac1c\ub150\uacfc \uc2e4\uc2b5\uc5d0 \ub300\ud574 \ub2e4\ub904\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0 \uc788\uc5b4 \ud544\uc218\uc801\uc778 \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uc558\uc73c\uba70, \uc790\ub3d9 \ubbf8\ubd84\uacfc \uac19\uc740 \uae30\ubc95\uc740 \ubaa8\ub378\uc758 \ud559\uc2b5\uc744 \ub354\uc6b1 \ud6a8\uc728\uc801\uc73c\ub85c \ub9cc\ub4e4\uc5b4 \uc90d\ub2c8\ub2e4. \uc120\ud615 \ud68c\uadc0\ub294 \ud1b5\uacc4\uc801 \ubaa8\ub378\ub9c1\uc758 \uae30\ucd08\uc774\uba70, \uc5ec\uc804\ud788 \ub2e4\uc591\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<p>\uc55e\uc73c\ub85c\ub3c4 \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc758 \ubc1c\uc804\uc5d0 \uc8fc\ubaa9\ud558\uba70, \ub2e4\uc591\ud55c \ubaa8\ub378\uacfc \uae30\ubc95\ub4e4\uc744 \uc775\ud600\ubcf4\uc138\uc694.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uc2ec\uce35 \uc2e0\uacbd\ub9dd(Deep Neural Networks)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 NLP \ubd84\uc57c\ub3c4 \ube60\ub974\uac8c \ubc1c\uc804\ud574 \uc654\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\ub150\uacfc \ud568\uaed8, \uc790\ub3d9 \ubbf8\ubd84 \ubc0f \uc120\ud615 \ud68c\uadc0\uc758 \uc2e4\uc2b5\uc5d0 \ub300\ud574 \uc2ec\ub3c4 \uae4a\uac8c \ub2e4\ub904\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/25231\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;06-04 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc790\ub3d9 \ubbf8\ubd84\uacfc \uc120\ud615 \ud68c\uadc0 \uc2e4\uc2b5&#8221;<\/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-25231","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>06-04 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc790\ub3d9 \ubbf8\ubd84\uacfc \uc120\ud615 \ud68c\uadc0 \uc2e4\uc2b5 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/25231\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"06-04 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc790\ub3d9 \ubbf8\ubd84\uacfc \uc120\ud615 \ud68c\uadc0 \uc2e4\uc2b5 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uc2ec\uce35 \uc2e0\uacbd\ub9dd(Deep Neural Networks)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 NLP \ubd84\uc57c\ub3c4 \ube60\ub974\uac8c \ubc1c\uc804\ud574 \uc654\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\ub150\uacfc \ud568\uaed8, \uc790\ub3d9 \ubbf8\ubd84 \ubc0f \uc120\ud615 \ud68c\uadc0\uc758 \uc2e4\uc2b5\uc5d0 \ub300\ud574 \uc2ec\ub3c4 \uae4a\uac8c \ub2e4\ub904\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 &hellip; \ub354 \ubcf4\uae30 &quot;06-04 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc790\ub3d9 \ubbf8\ubd84\uacfc \uc120\ud615 \ud68c\uadc0 \uc2e4\uc2b5&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25231\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:53:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:02:27+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" 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\ub144 \ub3d9\uc548 \uc2ec\uce35 \uc2e0\uacbd\ub9dd(Deep Neural Networks)\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 NLP \ubd84\uc57c\ub3c4 \ube60\ub974\uac8c \ubc1c\uc804\ud574 \uc654\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\ub150\uacfc \ud568\uaed8, \uc790\ub3d9 \ubbf8\ubd84 \ubc0f \uc120\ud615 \ud68c\uadc0\uc758 \uc2e4\uc2b5\uc5d0 \ub300\ud574 \uc2ec\ub3c4 \uae4a\uac8c \ub2e4\ub904\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 &hellip; \ub354 \ubcf4\uae30 \"06-04 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc790\ub3d9 \ubbf8\ubd84\uacfc \uc120\ud615 \ud68c\uadc0 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