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\ud559\uc2b5\ud558\ub294 \ub370 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\uc758 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uc8fc\ubaa9\ud560 \ub9cc\ud55c \uc131\uacfc\ub97c \uc774\ub8e8\uc5c8\uace0, \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc774 \uc2e4\uc81c\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":25341,"url":"https:\/\/atmokpo.com\/w\/25341\/","url_meta":{"origin":30104,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: 1D CNN\uc73c\ub85c \uc2a4\ud338 \uba54\uc77c \ubd84\ub958\ud558\uae30","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 | \ub0a0\uc9dc: [\ub0a0\uc9dc] \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd \uae30\uc220\uc774 \ube44\uc57d\uc801\uc73c\ub85c \ubc1c\uc804\ud558\uba74\uc11c \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud558\ub294 \uae30\uc220\ub85c, \uc774\uba54\uc77c \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 \ubc88\uc5ed \ub4f1 \ub2e4\ubc29\uba74\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 1\ucc28\uc6d0 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(1D CNN)\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2a4\ud338 \uba54\uc77c\uc744\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":30092,"url":"https:\/\/atmokpo.com\/w\/30092\/","url_meta":{"origin":30104,"position":4},"title":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \uc784\ubca0\ub529","author":"root","date":"2024\ub144 10\uc6d4 28\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \uc0ac\uc6a9\uc790\uac00 \uc758\ub3c4\ud55c \ubc14\ub97c \uc774\ud574\ud558\uace0, \ubb38\ub9e5\uc5d0 \ub9de\ub294 \uc751\ub2f5\uc744 \uc0dd\uc131\ud558\uba70, \uc5ec\ub7ec \uc5b8\uc5b4\uc801 \uc694\uc18c\ub97c \ubd84\uc11d\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc911\uc694\ud55c \uae30\uc220 \uc911 \ud558\ub098\uac00 \uc784\ubca0\ub529(Embedding)\uc785\ub2c8\ub2e4. \uc784\ubca0\ub529\uc740 \ub2e8\uc5b4\ub97c \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \ub354 \uc218\uce58\uc801\uc73c\ub85c \ud45c\ud604\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4. \uc624\ub298\uc740 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \ub2e8\uc5b4 \uc784\ubca0\ub529\uc744 \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc784\ubca0\ub529\uc774\ub780?\u2026","rel":"","context":""\ud30c\uc774\ud1a0\uce58 \uac15\uc88c"\uc5d0\uc11c","block_context":{"text":"\ud30c\uc774\ud1a0\uce58 \uac15\uc88c","link":"https:\/\/atmokpo.com\/w\/category\/%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98-%ea%b0%95%ec%a2%8c\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25283,"url":"https:\/\/atmokpo.com\/w\/25283\/","url_meta":{"origin":30104,"position":5},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: RNN\uc744 \uc774\uc6a9\ud55c \ud14d\uc2a4\ud2b8 \uc0dd\uc131","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: 2023\ub144 9\uc6d4 15\uc77c \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uc740 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc624\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\ub85c, \ucd5c\uadfc \uba87 \ub144\uac04 \ub9ce\uc740 \uad00\uc2ec\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub525 \ub7ec\ub2dd \uae30\uc220\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc1c\uc804\uc740 \ub9ce\uc740 \uc5f0\uad6c\uc790\uc640 \uac1c\ubc1c\uc790\ub4e4\uc5d0\uac8c \uc0c8\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4\uc8fc\uc5c8\uc2b5\ub2c8\ub2e4.\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\/30104","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=30104"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/30104\/revisions"}],"predecessor-version":[{"id":30105,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/30104\/revisions\/30105"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=30104"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=30104"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=30104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":30104,"date":"2024-10-28T03:19:36","date_gmt":"2024-10-28T03:19:36","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=30104"},"modified":"2024-11-26T06:49:57","modified_gmt":"2024-11-26T06:49:57","slug":"%eb%94%a5%eb%9f%ac%eb%8b%9d-%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98-%ea%b0%95%ec%a2%8c-%ec%a0%84%ec%b2%98%eb%a6%ac-%ed%86%a0%ed%81%b0%ed%99%94","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/30104\/","title":{"rendered":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc804\ucc98\ub9ac, \ud1a0\ud070\ud654"},"content":{"rendered":"

<\/p>\n

\n \ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ud559\uc2b5\uc744 \ud558\ubbc0\ub85c, \uc785\ub825 \ub370\uc774\ud130\ub97c \uc801\uc808\ud558\uac8c \uc900\ube44\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. \ud2b9\ud788 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc640 \uac19\uc740 \ubd84\uc57c\uc5d0\uc11c\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ub2e4\ub8e8\uae30 \uc704\ud574 \uc804\ucc98\ub9ac \ubc0f \ud1a0\ud070\ud654 \uacfc\uc815\uc774 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(PyTorch)\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ubc0f \ud1a0\ud070\ud654\uc758 \uac1c\ub150\uacfc \uc2e4\uc2b5\uc744 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n

1. \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc758 \uc911\uc694\uc131<\/h2>\n

\n \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub294 \uc6d0\uc2dc \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uc5ec \ubaa8\ub378 \ud559\uc2b5\uc5d0 \uc801\ud569\ud558\ub3c4\ub85d \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc774\uc720\ub85c \uc911\uc694\ud569\ub2c8\ub2e4:\n <\/p>\n

\ub178\uc774\uc988 \uac10\uc18c:<\/strong> \uc6d0\uc2dc \ub370\uc774\ud130\uc5d0\ub294 \uc885\uc885 \ud544\uc694\ud558\uc9c0 \uc54a\uc740 \uc815\ubcf4\uac00 \ud3ec\ud568\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uc804\ucc98\ub9ac\ub294 \uc774 \uc815\ubcf4\ub97c \uc81c\uac70\ud558\uc5ec \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uac1c\uc120\ud569\ub2c8\ub2e4.<\/li>\n
\uc77c\uad00\uc131 \uc720\uc9c0:<\/strong> \ub2e4\uc591\ud55c \ud615\uc2dd\uc758 \ub370\uc774\ud130\ub97c \uc77c\uad00\ub41c \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\uc5ec \ubaa8\ub378\uc774 \ub370\uc774\ud130\ub97c \uc774\ud574\ud558\uae30 \uc27d\uac8c \ub9cc\ub4ed\ub2c8\ub2e4.<\/li>\n

\uc18d\ub3c4 \ud5a5\uc0c1:<\/strong> \ubd88\ud544\uc694\ud55c \ub370\uc774\ud130\uc758 \uc591\uc744 \uc904\uc774\uba74 \ud559\uc2b5 \uc18d\ub3c4\uac00 \ube68\ub77c\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2. \uc804\ucc98\ub9ac \uacfc\uc815<\/h2>\n
\n \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub294 \ubcf4\ud1b5 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\ub97c \ud3ec\ud568\ud569\ub2c8\ub2e4:\n <\/p>\n
\n
\ud14d\uc2a4\ud2b8 \uc815\uc81c: \ub300\ubb38\uc790 \ubcc0\ud658, \uad6c\ub450\uc810 \uc81c\uac70, \ubd88\uc6a9\uc5b4 \ucc98\ub9ac \ub4f1<\/li>\n
\uc815\uaddc\ud654: \ub3d9\uc77c\ud55c \uc758\ubbf8\uc758 \ub2e8\uc5b4\ub97c \ud1b5\uc77c(\uc608: “\ubd80\uc790”, “\ubd80\uc720\ud55c” \u2192 “\ubd80\uc790”)<\/li>\n
\ud1a0\ud070\ud654: \ubb38\uc7a5\uc744 \ub2e8\uc5b4 \ub610\ub294 \uc11c\ube0c\uc6cc\ub4dc \ub2e8\uc704\ub85c \ub098\ub204\uae30<\/li>\n<\/ul>\n
2.1 \ud14d\uc2a4\ud2b8 \uc815\uc81c<\/h3>\n
\n \ud14d\uc2a4\ud2b8 \uc815\uc81c\ub294 \ub178\uc774\uc988\ub97c \uc904\uc774\uace0 \uc77c\uad00\ub41c \ud615\uc2dd\uc744 \uac16\ub3c4\ub85d \ub9cc\ub4dc\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. Python\uc758 \uc815\uaddc \ud45c\ud604\uc2dd \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ub7ec\ud55c \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
import re\n\ndef clean_text(text):\n # \uc18c\ubb38\uc790\ub85c \ubcc0\ud658\n text = text.lower()\n # \uad6c\ub450\uc810 \uc81c\uac70\n text = re.sub(r'[^a-z0-9\\s]', '', text)\n return text\n\nsample_text = \"\uc548\ub155\ud558\uc138\uc694! \ub525\ub7ec\ub2dd\uc758 \uc138\uacc4\uc5d0 \uc624\uc2e0 \uac83\uc744 \ud658\uc601\ud569\ub2c8\ub2e4. #\ub525\ub7ec\ub2dd #\ud30c\uc774\uc36c\"\ncleaned_text = clean_text(sample_text)\nprint(cleaned_text) # \"\uc548\ub155\ud558\uc138\uc694 \ub525\ub7ec\ub2dd\uc758 \uc138\uacc4\uc5d0 \uc624\uc2e0 \uac83\uc744 \ud658\uc601\ud569\ub2c8\ub2e4 \ub525\ub7ec\ub2dd \ud30c\uc774\uc36c\"\n <\/code><\/pre>\n2.2 \uc815\uaddc\ud654<\/h3>\n\n \uc815\uaddc\ud654\ub294 \uc758\ubbf8\uc801\uc73c\ub85c \uc720\uc0ac\ud55c \ub2e8\uc5b4\ub4e4\uc744 \ud1b5\uc77c\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, ‘\uc88b\ub2e4’, ‘\uc88b\uc544\uc694’, ‘\uc88b\uc740’\uacfc \uac19\uc740 \ub2e8\uc5b4\ub97c ‘\uc88b\uc74c’\uc73c\ub85c \ud1b5\uc77c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc0ac\uc804 \uc815\uc758\ub41c \uaddc\uce59\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ub7ec\ud55c \ubcc0\ud658\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n def normalize_text(text):\n normalization_map = {\n '\uc88b\ub2e4': '\uc88b\uc74c',\n '\uc88b\uc544\uc694': '\uc88b\uc74c',\n '\uc88b\uc740': '\uc88b\uc74c',\n }\n words = text.split()\n normalized_words = [normalization_map.get(word, word) for word in words]\n return ' '.join(normalized_words)\n\nnormalized_text = normalize_text(\"\uc774 \uc601\ud654\ub294 \uc544\uc8fc \uc88b\ub2e4. \uc815\ub9d0 \uc88b\uc740 \uc77c\uc774\ub2e4.\")\nprint(normalized_text) # \"\uc774 \uc601\ud654\ub294 \uc544\uc8fc \uc88b\uc74c. \uc815\ub9d0 \uc88b\uc74c \uc77c\uc774\ub2e4.\"\n <\/code><\/pre>\n3. \ud1a0\ud070\ud654(Tokenization)<\/h2>\n\n \ud14d\uc2a4\ud2b8\ub97c \ub2e8\uc5b4 \ub610\ub294 \uc11c\ube0c\uc6cc\ub4dc \ub2e8\uc704\ub85c \ub098\ub204\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \ud1a0\ud070\ud654\ub294 \uc77c\ubc18\uc801\uc73c\ub85c NLP\uc758 \uccab \ubc88\uc9f8 \ub2e8\uacc4\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub2e8\uc5b4 \ud1a0\ud070\ud654, \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud070\ud654 \ub4f1 \ub2e4\uc591\ud55c \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n 3.1 \ub2e8\uc5b4 \uae30\ubc18 \ud1a0\ud070\ud654<\/h3>\n\n \uac00\uc7a5 \uae30\ubcf8\uc801\uc778 \ud615\ud0dc\uc758 \ud1a0\ud070\ud654\ub85c, \uacf5\ubc31\uc744 \uae30\uc900\uc73c\ub85c \ubb38\uc7a5\uc744 \ub098\ub204\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. Python\uc758 \ub0b4\uc7a5 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc27d\uac8c \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n def word_tokenize(text):\n return text.split()\n\ntokens = word_tokenize(normalized_text)\nprint(tokens) # ['\uc774', '\uc601\ud654\ub294', '\uc544\uc8fc', '\uc88b\uc74c.', '\uc815\ub9d0', '\uc88b\uc74c', '\uc77c\uc774\ub2e4.']\n <\/code><\/pre>\n3.2 \uc11c\ube0c\uc6cc\ub4dc \uae30\ubc18 \ud1a0\ud070\ud654<\/h3>\n\n \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud070\ud654\ub294 BERT\uc640 \uac19\uc740 \ucd5c\uc2e0 \ubaa8\ub378\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774\ub294 \ub2e8\uc5b4\ub97c \ub354\uc6b1 \uc791\uc740 \ub2e8\uc704\ub85c \ubd84\ud574\ud558\uc5ec \ud76c\uadc0 \ub2e8\uc5b4 \ubb38\uc81c\ub97c \uc644\ud654\ud569\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc758 SentencePiece<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n !pip install sentencepiece\n\nimport sentencepiece as spm\n\n# \uc11c\ube0c\uc6cc\ub4dc \ubaa8\ub378 \ud559\uc2b5\nspm.SentencePieceTrainer.Train('--input=corpus.txt --model_prefix=m --vocab_size=5000')\n\n# \ubaa8\ub378 \ub85c\ub4dc \ubc0f \ud1a0\ud070\ud654\nsp = spm.SentencePieceProcessor()\nsp.load('m.model')\n\ntext = \"\uc548\ub155\ud558\uc138\uc694, \ub525\ub7ec\ub2dd\uc744 \ubc30\uc6b0\uace0 \uc788\uc2b5\ub2c8\ub2e4.\"\nsubword_tokens = sp.encode(text, out_type=str)\nprint(subword_tokens) # ['\u2581\uc548\ub155', '\ud558', '\uc138', '\uc694', ',', '\u2581\ub525', '\ub7ec', '\ub2dd', '\uc744', '\u2581\ubc30\uc6b0', '\uace0', '\u2581\uc788', '\uc2b5', '\ub2c8\ub2e4', '.']\n <\/code><\/pre>\n4. \ub370\uc774\ud130\uc14b \uc900\ube44\uc640 \ud30c\uc774\ud1a0\uce58(DataLoader) \ud65c\uc6a9<\/h2>\n\n \uc704\uc5d0\uc11c \uc815\uc81c \ubc0f \ud1a0\ud070\ud654\ud55c \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud30c\uc774\ud1a0\uce58\uc758 \ub370\uc774\ud130\uc14b\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ub525\ub7ec\ub2dd \ubaa8\ub378 \ud559\uc2b5 \uc2dc, \ubc30\uce58 \ucc98\ub9ac\ub97c \uc6a9\uc774\ud558\uac8c \ud574\uc90d\ub2c8\ub2e4.\n <\/p>\n import torch\nfrom torch.utils.data import Dataset, DataLoader\n\nclass TextDataset(Dataset):\n def __init__(self, texts, labels):\n self.texts = texts\n self.labels = labels\n\n def __len__(self):\n return len(self.texts)\n\n def __getitem__(self, idx):\n return self.texts[idx], self.labels[idx]\n\ntexts = [\"\uc774 \uc601\ud654\ub294 \uc88b\uc74c\", \"\uc774 \uc601\ud654\ub294 \ubcc4\ub85c\ub2e4\"]\nlabels = [1, 0] # \uae0d\uc815: 1, \ubd80\uc815: 0\ndataset = TextDataset(texts, labels)\n\ndata_loader = DataLoader(dataset, batch_size=2, shuffle=True)\n\nfor batch in data_loader:\n print(batch) # (['\uc774 \uc601\ud654\ub294 \uc88b\uc74c', '\uc774 \uc601\ud654\ub294 \ubcc4\ub85c\ub2e4'], [1, 0])\n <\/code><\/pre>\n5. \uacb0\ub860<\/h2>\n\n \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \uc804\ucc98\ub9ac\uc640 \ud1a0\ud070\ud654\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc640 \ud1a0\ud070\ud654\ub294 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc5d0 \uc9c1\uc811\uc801\uc778 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294 \ub9cc\ud07c, \ubc18\ub4dc\uc2dc \uc219\uc9c0\ud574\uc57c \ud560 \uae30\ucd08 \uc9c0\uc2dd\uc785\ub2c8\ub2e4. \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \ucc28\ud6c4\uc5d0\ub294 \uc2e4\uc81c \ubaa8\ub378 \uad6c\ucd95 \ubc0f \ud559\uc2b5 \uacfc\uc815\uc5d0 \ub300\ud574 \ub2e4\ub8e8\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n 6. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n\nDeep Learning, Ian Goodfellow et al.<\/li>\n Natural Language Processing with PyTorch, Delip Rao and Graham Neubig<\/li>\n PyTorch Data Processing Documentation<\/a><\/li>\n<\/ul>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"\ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ud559\uc2b5\uc744 \ud558\ubbc0\ub85c, \uc785\ub825 \ub370\uc774\ud130\ub97c \uc801\uc808\ud558\uac8c \uc900\ube44\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. \ud2b9\ud788 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc640 \uac19\uc740 \ubd84\uc57c\uc5d0\uc11c\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ub2e4\ub8e8\uae30 \uc704\ud574 \uc804\ucc98\ub9ac \ubc0f \ud1a0\ud070\ud654 \uacfc\uc815\uc774 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(PyTorch)\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ubc0f \ud1a0\ud070\ud654\uc758 \uac1c\ub150\uacfc \uc2e4\uc2b5\uc744 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc758 \uc911\uc694\uc131 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub294 \uc6d0\uc2dc \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uc5ec \ubaa8\ub378 \ud559\uc2b5\uc5d0 \uc801\ud569\ud558\ub3c4\ub85d \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 … \ub354 \ubcf4\uae30 “\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc804\ucc98\ub9ac, \ud1a0\ud070\ud654”<\/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":[33],"tags":[],"class_list":["post-30104","post","type-post","status-publish","format-standard","hentry","category-33"],"yoast_head":"\n\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc804\ucc98\ub9ac, \ud1a0\ud070\ud654 - \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\/30104\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc804\ucc98\ub9ac, \ud1a0\ud070\ud654 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ud559\uc2b5\uc744 \ud558\ubbc0\ub85c, \uc785\ub825 \ub370\uc774\ud130\ub97c \uc801\uc808\ud558\uac8c \uc900\ube44\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4. \ud2b9\ud788 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc640 \uac19\uc740 \ubd84\uc57c\uc5d0\uc11c\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ub2e4\ub8e8\uae30 \uc704\ud574 \uc804\ucc98\ub9ac \ubc0f \ud1a0\ud070\ud654 \uacfc\uc815\uc774 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(PyTorch)\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ubc0f \ud1a0\ud070\ud654\uc758 \uac1c\ub150\uacfc \uc2e4\uc2b5\uc744 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc758 \uc911\uc694\uc131 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub294 \uc6d0\uc2dc \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uc5ec \ubaa8\ub378 \ud559\uc2b5\uc5d0 \uc801\ud569\ud558\ub3c4\ub85d \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 … \ub354 \ubcf4\uae30 "\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc804\ucc98\ub9ac, \ud1a0\ud070\ud654"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/30104\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T03:19:36+00:00\" \/>\n<meta property=\"article:modified_time\" 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