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\ubc1c\uc804\uc5d0 \ud798\uc785\uc5b4 \ud06c\uac8c \ubc1c\uc804\ud558\uc600\ub2e4. \ud2b9\ud788, \ud1b5\uacc4\uc801 \uc5b8\uc5b4 \ubaa8\ub378(Statistical Language Model, SLM)\uc740 \uc774\ub7ec\ud55c \ubc1c\uc804\uc758 \ud575\uc2ec\uc801\uc778 \uc694\uc18c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25493,"url":"https:\/\/atmokpo.com\/w\/25493\/","url_meta":{"origin":25161,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc9c8\uc758 \uc751\ub2f5(Question Answering, QA)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 | \ub0a0\uc9dc: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \ucef4\ud4e8\ud130 \uacfc\ud559\uc758 \ud55c \ubd84\uc57c\ub85c, \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\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4. \ud2b9\ud788, \uc9c8\uc758 \uc751\ub2f5 \uc2dc\uc2a4\ud15c\uc740 \uc0ac\uc6a9\uc790\ub85c\ubd80\ud130 \uc790\uc5f0\uc5b4\ub85c \uc785\ub825\ub41c \uc9c8\ubb38\uc744 \uc774\ud574\ud558\uace0, \uadf8\uc5d0 \ub300\ud55c \uc801\uc808\ud55c \ub2f5\ubcc0\uc744 \uc81c\uacf5\ud558\ub294 \uc2dc\uc2a4\ud15c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25287,"url":"https:\/\/atmokpo.com\/w\/25287\/","url_meta":{"origin":25161,"position":4},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc21c\ud658 \uc2e0\uacbd\ub9dd(Recurrent Neural Network)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 | \ub0a0\uc9dc: [\ub0a0\uc9dc] 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ubd84\uc11d\ud558\ub294 \uae30\uc220\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\ub294 \ube44\uc57d\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc73c\uba70, \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc21c\ud658 \uc2e0\uacbd\ub9dd(Recurrent Neural Network, RNN)\uc740 \uc5b8\uc5b4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378\ub85c \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 RNN\uc758 \uc6d0\ub9ac, \uad6c\uc870, \uadf8\ub9ac\uace0\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25435,"url":"https:\/\/atmokpo.com\/w\/25435\/","url_meta":{"origin":25161,"position":5},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, KoBERT\ub97c \uc774\uc6a9\ud55c \uae30\uacc4 \ub3c5\ud574","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\ub294 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 \uadf9\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc640 \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0, \uc0dd\uc131\ud558\uba70, \uc751\ub2f5\ud558\ub294 \ub2a5\ub825\uc774 \ud5a5\uc0c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, KoBERT\uc640 \uac19\uc740 \ud55c\uad6d\uc5b4 \uae30\ubc18\uc758 \ubcc0\ud615\ub41c BERT \ubaa8\ub378\uc740 \ud55c\uad6d\uc5b4 NLP \ubd84\uc57c\uc5d0\uc11c \ud070 \uc601\ud5a5\ub825\uc744 \ubc1c\ud718\ud558\uace0\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=25161"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25161\/revisions"}],"predecessor-version":[{"id":25162,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25161\/revisions\/25162"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=25161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=25161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=25161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":25161,"date":"2024-10-26T09:52:38","date_gmt":"2024-10-26T09:52:38","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25161"},"modified":"2024-11-26T08:02:41","modified_gmt":"2024-11-26T08:02:41","slug":"%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%95%84%eb%82%98%ec%bd%98%eb%8b%a4anaconda%ec%99%80-%ec%bd%94%eb%9e%a9colab","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25161\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc544\ub098\ucf58\ub2e4(Anaconda)\uc640 \ucf54\ub7a9(Colab)"},"content":{"rendered":"

<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uc778\uacf5\uc9c0\ub2a5(AI)\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\uac00 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ubcf8 \uac1c\ub150, \uc544\ub098\ucf58\ub2e4(Anaconda) \ubc0f \uad6c\uae00 \ucf54\ub7a9(Colab)\uc758 \uc124\uc815 \ubc0f \uc0ac\uc6a9\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694<\/h2>\n

1.1 \ub525 \ub7ec\ub2dd\uc758 \uc815\uc758<\/h3>\n
\ub525 \ub7ec\ub2dd\uc740 \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uae30\uacc4 \ud559\uc2b5 \uae30\ubc95\uc73c\ub85c, \uc5ec\ub7ec \uce35\uc758 \ub274\ub7f0\ub4e4\uc774 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uc5ec \uc608\uce21\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \uc774\ub294 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130\uc758 \ud328\ud134\uacfc \uad00\uacc4\ub97c \uc2a4\uc2a4\ub85c \ud559\uc2b5\ud560 \uc218 \uc788\ub294 \ub2a5\ub825\uc744 \uac00\uc9c0\uba70, \ud2b9\ud788 \uc774\ubbf8\uc9c0 \uc778\uc2dd, \uc74c\uc131 \uc778\uc2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ub4f1 \uc5ec\ub7ec \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

1.2 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \uc815\uc758<\/h3>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \ucef4\ud4e8\ud130\uac00 \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ud14d\uc2a4\ud2b8 \ubd84\uc11d, \uae30\uacc4 \ubc88\uc5ed, \uac10\uc815 \ubd84\uc11d \ub4f1 \ub2e4\uc591\ud55c \uc5b4\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \ud1b5\ud574 \uc815\ubcf4 \ucd94\ucd9c \ubc0f \uc758\ubbf8 \uc774\ud574\ub97c \uc9c0\uc6d0\ud569\ub2c8\ub2e4.<\/p>\n

1.3 \ub525 \ub7ec\ub2dd\uacfc NLP\uc758 \uc735\ud569<\/h3>\n
\ub525 \ub7ec\ub2dd\uc758 \uc131\uc7a5\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0 \uac15\ub825\ud55c \uc601\ud5a5\uc744 \ubbf8\ucce4\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uc21c\ud658 \uc2e0\uacbd\ub9dd(RNN), \uc7a5\ub2e8\uae30 \uba54\ubaa8\ub9ac \ub124\ud2b8\uc6cc\ud06c(LSTM), \ubcc0\ud658\uae30(Transformer) \ub4f1\uc758 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc774 \uc5b8\uc5b4 \ubaa8\ub378\ub9c1\uacfc \uae30\uacc4 \ubc88\uc5ed \ub4f1\uc5d0\uc11c \ud68d\uae30\uc801\uc778 \uc131\uacfc\ub97c \uc774\ub04c\uc5b4\ub0c8\uc2b5\ub2c8\ub2e4.<\/p>\n

2. \uc544\ub098\ucf58\ub2e4(Anaconda)\ub780?<\/h2>\n

2.1 \uc544\ub098\ucf58\ub2e4 \uac1c\uc694<\/h3>\n
\uc544\ub098\ucf58\ub2e4\ub294 \ub370\uc774\ud130 \uacfc\ud559, \uae30\uacc4 \ud559\uc2b5, \uadf8\ub9ac\uace0 \ub525 \ub7ec\ub2dd\uc744 \uc704\ud55c \ud30c\uc774\uc36c \ubc0f R \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4 \uc6a9 \ubc30\ud3ec\ud310\uc785\ub2c8\ub2e4. \uc544\ub098\ucf58\ub2e4\ub294 \uc0ac\uc6a9\uc790\uac00 \uc27d\uac8c \ud328\ud0a4\uc9c0\ub97c \uad00\ub9ac\ud558\uace0 \ud658\uacbd\uc744 \uc124\uc815\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4.<\/p>\n

2.2 \uc544\ub098\ucf58\ub2e4 \uc124\uce58<\/h3>\n
\uc544\ub098\ucf58\ub2e4 \uc124\uce58\ub294 \uac04\ub2e8\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc124\uce58 \ubc29\ubc95\uc785\ub2c8\ub2e4:<\/p>\n
\n
\uc544\ub098\ucf58\ub2e4 \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8(\ub9c1\ud06c<\/a>)\uc5d0 \uc811\uc18d\ud558\uc5ec \uc801\uc808\ud55c \uc124\uce58 \ud30c\uc77c\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/li>\n
\ub2e4\uc6b4\ub85c\ub4dc\ud55c \ud30c\uc77c\uc744 \uc2e4\ud589\ud558\uc5ec \uc124\uce58 \uacfc\uc815\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4. \uc124\uce58 \uacfc\uc815\uc5d0\uc11c “Add Anaconda to my PATH environment variable”\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2.3 \uc544\ub098\ucf58\ub2e4 \ud658\uacbd \uc124\uc815<\/h3>\n
\uc544\ub098\ucf58\ub2e4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac00\uc0c1 \ud658\uacbd\uc744 \ub9cc\ub4e4\uace0 \uad00\ub9ac\ud558\uba74 \ub2e4\uc591\ud55c \ud504\ub85c\uc81d\ud2b8\uc5d0\uc11c \ud328\ud0a4\uc9c0 \ucda9\ub3cc\uc744 \ud53c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uac00\uc0c1 \ud658\uacbd \uc0dd\uc131 \ubc0f \ud65c\uc131\ud654 \ubc29\ubc95\uc785\ub2c8\ub2e4:<\/p>\n
# \uac00\uc0c1 \ud658\uacbd \uc0dd\uc131\nconda create -n myenv python=3.8\n\n# \uac00\uc0c1 \ud658\uacbd \ud65c\uc131\ud654\nconda activate myenv\n<\/code><\/pre>\n3. \uad6c\uae00 \ucf54\ub7a9(Colab) \uc18c\uac1c<\/h2>\n 3.1 \ucf54\ub7a9\uc758 \uac1c\uc694<\/h3>\n\uad6c\uae00 \ucf54\ub7a9\uc740 \uad6c\uae00\uc774 \uc81c\uacf5\ud558\ub294 \ubb34\ub8cc Jupyter \ub178\ud2b8\ubd81 \ud658\uacbd\uc73c\ub85c, \ud61c\ud0dd\uc73c\ub85c\ub294 GPU \uc9c0\uc6d0\uacfc \ud074\ub77c\uc6b0\ub4dc \uc800\uc7a5\uc18c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \ucf54\ub7a9\uc740 \ub525 \ub7ec\ub2dd \uc2e4\uc2b5\uc5d0 \ud2b9\ud788 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n
3.2 \ucf54\ub7a9 \uc0ac\uc6a9 \ubc29\ubc95<\/h3>\n
\ucf54\ub7a9\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \uad6c\uae00 \uacc4\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ucf54\ub7a9 \uc0ac\uc6a9\ubc95\uc785\ub2c8\ub2e4:<\/p>\n
\n
\uad6c\uae00 \ub4dc\ub77c\uc774\ube0c\uc5d0 \uc811\uc18d \ud6c4 \uc0c8\ub85c \ub9cc\ub4e4\uae30\ub97c \uc120\ud0dd\ud55c \ub4a4 “Google Colaboratory”\ub97c \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/li>\n
\uc0c8\ub85c\uc6b4 \ub178\ud2b8\ubd81\uc774 \uc0dd\uc131\ub418\uba74, \ucf54\ub4dc \uc140\uc5d0 Python \ucf54\ub4dc\ub97c \uc785\ub825\ud558\uace0 \uc2e4\ud589\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3.3 \ucf54\ub7a9\uc5d0\uc11c GPU \uc0ac\uc6a9\ud558\uae30<\/h3>\n
\ucf54\ub7a9\uc5d0\uc11c\ub294 GPU \ubc0f TPU\ub97c \ubb34\ub8cc\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. GPU\ub97c \ud65c\uc131\ud654\ud558\ub824\uba74:<\/p>\n
\n
\uba54\ub274\uc5d0\uc11c “Runtime”\uc744 \ud074\ub9ad\ud55c \ud6c4 “Change runtime type”\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/li>\n
“Hardware accelerator”\uc5d0\uc11c GPU\ub97c \uc120\ud0dd\ud55c \ud6c4 “Save”\ub97c \ud074\ub9ad\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n
4. \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc2e4\uc2b5<\/h2>\n
4.1 \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uccab \ub2e8\uacc4\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c\ub294 \ud14d\uc2a4\ud2b8\ub97c \uc815\uc81c\ud558\uace0, \ubd88\uc6a9\uc5b4\ub97c \uc81c\uac70\ud558\uba70, \ud1a0\ud070\ud654\ub97c \uc218\ud589\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ucf54\ub4dc\uc758 \uc608\uc785\ub2c8\ub2e4:<\/p>\n
import pandas as pd\nimport re\nfrom nltk.corpus import stopwords\n\n# \ub370\uc774\ud130 \ub85c\ub4dc\ndata = pd.read_csv('data.csv')\n\n# \ud14d\uc2a4\ud2b8 \uc815\uc81c \ud568\uc218\ndef clean_text(text):\n text = re.sub(r'\\W', ' ', text) # \ud2b9\uc218 \ubb38\uc790 \uc81c\uac70\n text = text.lower() # \uc18c\ubb38\uc790\ub85c \ubcc0\ud658\n text = ' '.join([word for word in text.split() if word not in stopwords.words('english')]) # \ubd88\uc6a9\uc5b4 \uc81c\uac70\n return text\n\ndata['cleaned_text'] = data['text'].apply(clean_text)\n<\/code><\/pre>\n4.2 \ubaa8\ub378 \uad6c\ucd95<\/h3>\n\ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574 Keras \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\ub294 \uac04\ub2e8\ud55c LSTM \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \uc608\uc785\ub2c8\ub2e4:<\/p>\n from keras.models import Sequential\nfrom keras.layers import Embedding, LSTM, Dense\n\n# \ubaa8\ub378 \ucd08\uae30\ud654\nmodel = Sequential()\nmodel.add(Embedding(input_dim=vocab_size, output_dim=embedding_dim, input_length=max_length))\nmodel.add(LSTM(units=100))\nmodel.add(Dense(units=1, activation='sigmoid'))\n\n# \ucef4\ud30c\uc77c\nmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n<\/code><\/pre>\n4.3 \ubaa8\ub378 \ud559\uc2b5<\/h3>\n\ubaa8\ub378\uc744 \uad6c\ucd95\ud55c \ud6c4\uc5d0\ub294 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4:<\/p>\n model.fit(X_train, y_train, epochs=5, batch_size=64, validation_data=(X_val, y_val))\n<\/code><\/pre>\n4.4 \uc608\uce21 \ubc0f \ud3c9\uac00<\/h3>\n\ubaa8\ub378\uc744 \ud559\uc2b5\ud55c \ud6c4\uc5d0\ub294 \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\uc5d0 \ub300\ud574 \uc608\uce21\uc744 \uc218\ud589\ud558\uace0 \uc131\ub2a5\uc744 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n predictions = model.predict(X_test)\naccuracy = model.evaluate(X_test, y_test)\nprint(\"Test Accuracy: \", accuracy[1])\n<\/code><\/pre>\n5. \uacb0\ub860<\/h2>\n\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ud604\ub300 AI \uae30\uc220\uc758 \uc911\uc694\ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \uc544\ub098\ucf58\ub2e4\uc640 \ucf54\ub7a9\uc744 \ud65c\uc6a9\ud558\uba74 \uc190\uc27d\uac8c \uc2e4\uc2b5 \ud658\uacbd\uc744 \uad6c\ucd95\ud558\uace0 \ub2e4\uc591\ud55c \ubaa8\ub378\uc744 \uc2e4\ud5d8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc744 \ud1b5\ud574 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\uc640 \ud568\uaed8 \uc2e4\uc81c \uad6c\ud604 \uc608\uc81c\ub97c \uc81c\uacf5\ud558\uc600\uc73c\ub2c8, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ubcf4\ub2e4 \uc2ec\ud654\ub41c \uae30\uc220\ub3c4 \ud0d0\uad6c\ud558\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n \n\uc774 \uae00\uc774 \uc720\uc6a9\ud558\uc168\ub2e4\uba74, \ub313\uae00\uc774\ub098 \uacf5\uc720 \ubd80\ud0c1\ub4dc\ub9bd\ub2c8\ub2e4. \uac10\uc0ac\ud569\ub2c8\ub2e4!<\/p>\n<\/footer>\n <\/body><\/p>\n","protected":false},"excerpt":{"rendered":" \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uc778\uacf5\uc9c0\ub2a5(AI)\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\uac00 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ubcf8 \uac1c\ub150, \uc544\ub098\ucf58\ub2e4(Anaconda) \ubc0f \uad6c\uae00 \ucf54\ub7a9(Colab)\uc758 \uc124\uc815 \ubc0f \uc0ac\uc6a9\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694 1.1 \ub525 \ub7ec\ub2dd\uc758 \uc815\uc758 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc544\ub098\ucf58\ub2e4(Anaconda)\uc640 \ucf54\ub7a9(Colab)”<\/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-25161","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, \uc544\ub098\ucf58\ub2e4(Anaconda)\uc640 \ucf54\ub7a9(Colab) - \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\/25161\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc544\ub098\ucf58\ub2e4(Anaconda)\uc640 \ucf54\ub7a9(Colab) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uc778\uacf5\uc9c0\ub2a5(AI)\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\ub3c4 \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\uac00 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ubcf8 \uac1c\ub150, \uc544\ub098\ucf58\ub2e4(Anaconda) \ubc0f \uad6c\uae00 \ucf54\ub7a9(Colab)\uc758 \uc124\uc815 \ubc0f \uc0ac\uc6a9\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694 1.1 \ub525 \ub7ec\ub2dd\uc758 \uc815\uc758 … \ub354 \ubcf4\uae30 "\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc544\ub098\ucf58\ub2e4(Anaconda)\uc640 \ucf54\ub7a9(Colab)"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25161\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:52:38+00:00\" \/>\n<meta property=\"article:modified_time\" 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1. \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694<\/h2>\n

2. \uc544\ub098\ucf58\ub2e4(Anaconda)\ub780?<\/h2>\n

3. \uad6c\uae00 \ucf54\ub7a9(Colab) \uc18c\uac1c<\/h2>\n

3.2 \ucf54\ub7a9 \uc0ac\uc6a9 \ubc29\ubc95<\/h3>\n\ucf54\ub7a9\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \uad6c\uae00 \uacc4\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ucf54\ub7a9 \uc0ac\uc6a9\ubc95\uc785\ub2c8\ub2e4:<\/p>\n

3.3 \ucf54\ub7a9\uc5d0\uc11c GPU \uc0ac\uc6a9\ud558\uae30<\/h3>\n\ucf54\ub7a9\uc5d0\uc11c\ub294 GPU \ubc0f TPU\ub97c \ubb34\ub8cc\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. GPU\ub97c \ud65c\uc131\ud654\ud558\ub824\uba74:<\/p>\n

4. \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc2e4\uc2b5<\/h2>\n