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\ucc98\ub9ac \ubd84\uc57c\ub294 \ube44\uc57d\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc73c\uba70, \ud2b9\ud788 \ud14d\uc2a4\ud2b8 \uc0dd\uc131, \ubc88\uc5ed \ubc0f \uc694\uc57d\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0\uc11c \ub450\uac01\uc744 \ub098\ud0c0\ub0b4\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BART(Bidirectional and Auto-Regressive Transformers) \ubaa8\ub378\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":25283,"url":"https:\/\/atmokpo.com\/w\/25283\/","url_meta":{"origin":25457,"position":3},"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":[]},{"id":29614,"url":"https:\/\/atmokpo.com\/w\/29614\/","url_meta":{"origin":25457,"position":4},"title":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, M2M100 \ubc88\uc5ed \uc18c\uc2a4\ub85c \uc911\uad6d\uc5b4 \ud14d\uc2a4\ud2b8 \uc900\ube44","author":"root","date":"2024\ub144 10\uc6d4 28\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: 2023\ub144 10\uc6d4 10\uc77c 1. \uc11c\ub860 \ucd5c\uadfc \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ub9ce\uc740 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ubc88\uc5ed \uae30\uc220\uc740 \uae00\ub85c\ubc8c \uc18c\ud1b5\uc744 \uac00\ub2a5\ud558\uac8c \ud558\ub294 \uc911\uc694\ud55c \uc694\uc18c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 Hugging Face\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec M2M100 \ubaa8\ub378\uc744 \ubc14\ud0d5\uc73c\ub85c \uc911\uad6d\uc5b4 \ud14d\uc2a4\ud2b8\ub97c \uc900\ube44\ud558\uace0 \ubc88\uc5ed\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub8f9\ub2c8\ub2e4. M2M100 \ubaa8\ub378\uc740 \ub2e4\uc591\ud55c \uc5b8\uc5b4 \uac04\uc758 \ubc88\uc5ed\uc744 \uc9c0\uc6d0\ud558\ub294\u2026","rel":"","context":""\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9"\uc5d0\uc11c","block_context":{"text":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9","link":"https:\/\/atmokpo.com\/w\/category\/%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%99%9c%ec%9a%a9\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":29359,"url":"https:\/\/atmokpo.com\/w\/29359\/","url_meta":{"origin":25457,"position":5},"title":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc704\ud55c RNN","author":"root","date":"2024\ub144 10\uc6d4 27\uc77c","format":false,"excerpt":"\uc800\uc790: \uc870\uad11\ud615 \ub0a0\uc9dc: [\ub0a0\uc9dc] \ubaa9\ucc28 1. \uc11c\ub860 2. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uac1c\uc694 3. RNN(\uc21c\ud658 \uc2e0\uacbd\ub9dd) \uc18c\uac1c 4. \ub370\uc774\ud130 \uc804\ucc98\ub9ac 5. \ubaa8\ub378 \ud6c8\ub828 6. \ubc31\ud14c\uc2a4\ud305 7. \uc790\ub3d9\ub9e4\ub9e4 \uc804\ub7b5 \ubc30\ud3ec 8. \uacb0\ub860 1. \uc11c\ub860 \ud604\ub300 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\ub294 \ub370\uc774\ud130\uc758 \uc591\uc774 \ud3ed\ubc1c\uc801\uc73c\ub85c \uc99d\uac00\ud558\uba74\uc11c \uc804\ud1b5\uc801\uc778 \ud2b8\ub808\uc774\ub529 \ubc29\ubc95\uc744 \ub118\uc5b4\uc11c\ub294 \uace0\uae09 \uc54c\uace0\ub9ac\uc998\uc774 \ud544\uc694\ud574\uc84c\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ub274\uc2a4 \uae30\uc0ac, \uc18c\uc15c\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%ec%9e%90%eb%8f%99-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25457","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=25457"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25457\/revisions"}],"predecessor-version":[{"id":25458,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25457\/revisions\/25458"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=25457"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=25457"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=25457"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":25457,"date":"2024-10-26T09:55:17","date_gmt":"2024-10-26T09:55:17","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25457"},"modified":"2024-11-26T08:01:41","modified_gmt":"2024-11-26T08:01:41","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%9d%b8%ec%bd%94%eb%8d%94%ec%99%80-%eb%94%94%ec%bd%94%eb%8d%94","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25457\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354"},"content":{"rendered":"

<\/p>\n

\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\uac8c \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \ubd84\uc57c\ub294 \ud14d\uc2a4\ud2b8 \ubd84\uc11d, \uc5b8\uc5b4 \ubc88\uc5ed, \uac10\uc815 \ubd84\uc11d \ub4f1 \uc5ec\ub7ec \uac00\uc9c0 \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \uac04, \ub525 \ub7ec\ub2dd(deep learning) \uae30\ubc95\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5b4\ub0c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \ud2b9\ud788 \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uae30\ubcf8 \uac1c\ub150<\/h2>\n
\uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \uc8fc\ub85c \uc2dc\ud000\uc2a4-\ud22c-\uc2dc\ud000\uc2a4(sequence-to-sequence) \ubaa8\ub378\ub85c \ubd88\ub9ac\uba70, \uc785\ub825 \uc2dc\ud000\uc2a4\ub97c \ucc98\ub9ac\ud558\uc5ec \uace0\ucc28\uc6d0 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud55c \ud6c4, \uc774\ub97c \ub2e4\uc2dc \ub514\ucf54\ub529\ud558\uc5ec \ucd9c\ub825 \uc2dc\ud000\uc2a4\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \uc8fc\ub85c \uae30\uacc4 \ubc88\uc5ed, \ud14d\uc2a4\ud2b8 \uc694\uc57d, \ub300\ud654 \uc0dd\uc131\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n

1.1 \uc778\ucf54\ub354<\/h3>\n

\uc778\ucf54\ub354\ub294 \uc785\ub825 \uc2dc\ud000\uc2a4\ub97c \ubc1b\uc544 \uc774\ub97c \uace0\ucc28\uc6d0 \ubca1\ud130\ub85c \ubcc0\ud658\ud558\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c RNN(Recurrent Neural Network)\uc774\ub098 LSTM(Long Short Term Memory), GRU(Gated Recurrent Unit)\uc640 \uac19\uc740 \uc21c\ud658 \uc2e0\uacbd\ub9dd \uc544\ud0a4\ud14d\ucc98\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n

def encoder(input_sequence):\n    # \uc785\ub825 \uc2dc\ud000\uc2a4\ub97c \ucc98\ub9ac\ud558\uc5ec \uc0c1\ud0dc \ubca1\ud130\ub97c \ubc18\ud658\ud568\n    hidden_state = initialize_hidden_state()\n    for word in input_sequence:\n        hidden_state = update_hidden_state(hidden_state, word)\n    return hidden_state\n<\/code><\/pre>\n1.2 \ub514\ucf54\ub354<\/h3>\n\ub514\ucf54\ub354\ub294 \uc778\ucf54\ub354\uc5d0\uc11c \uc804\ub2ec\ubc1b\uc740 \uc0c1\ud0dc \ubca1\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ucd9c\ub825 \uc2dc\ud000\uc2a4\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \ub514\ucf54\ub354 \uc5ed\uc2dc RNN, LSTM \ub4f1\uc744 \ud65c\uc6a9\ud558\uba70, \uc774\uc804 \ucd9c\ub825 \uacb0\uacfc\ub97c \ubc14\ud0d5\uc73c\ub85c \ud604\uc7ac \ucd9c\ub825\uc744 \uc0dd\uc131\ud558\ub294 \uc21c\uc11c\ub85c \uc9c4\ud589\ub429\ub2c8\ub2e4. \ud544\uc694\ud55c \uacbd\uc6b0 \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998(attention mechanism)\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc778\ucf54\ub354\uc758 \ubaa8\ub4e0 \uc0c1\ud0dc\ub97c \uace0\ub824\ud558\uc5ec \ubcf4\ub2e4 \uc815\ud655\ud55c \ucd9c\ub825\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
def decoder(hidden_state):\n    # \uc0c1\ud0dc \ubca1\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ub2e4\uc74c \ub2e8\uc5b4\ub97c \uc608\uce21\ud558\uba70 \uc2dc\ud000\uc2a4\ub97c \uc0dd\uc131\n    output_sequence = []\n    while not end_of_sequence:\n        current_output = predict_next_word(hidden_state)\n        output_sequence.append(current_output)\n        hidden_state = update_hidden_state(hidden_state, current_output)\n    return output_sequence\n<\/code><\/pre>\n2. \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uc544\ud0a4\ud14d\ucc98<\/h2>\n\uc778\ucf54\ub354-\ub514\ucf54\ub354 \uc544\ud0a4\ud14d\ucc98\uc758 \uae30\ubcf8 \uad6c\uc870\ub294 \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354\uac00 \uac01\uac01 \uc11c\ub85c \ub2e4\ub978 \uc5ed\ud560\uc744 \uc218\ud589\ud558\ub294 \uac83\uc774 \ud575\uc2ec\uc785\ub2c8\ub2e4. \uc774\ub4e4\uc740 \ud568\uaed8 \uc791\ub3d9\ud558\uc5ec \uc804\uccb4 \uc2dc\uc2a4\ud15c\uc774 \uc6d0\ud65c\ud558\uac8c \uc6b4\uc601\ub420 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uc544\ud0a4\ud14d\ucc98\uc758 \ud2b9\uc9d5\uc785\ub2c8\ub2e4:<\/p>\n
\n\ubcd1\ub82c \ucc98\ub9ac:<\/strong> \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354\ub294 \uc11c\ub85c \ub3c5\ub9bd\uc801\uc73c\ub85c \uc791\ub3d9\ud560 \uc218 \uc788\uc5b4 \ubcd1\ub82c \ucc98\ub9ac\uac00 \uc6a9\uc774\ud569\ub2c8\ub2e4.<\/li>\n
\uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998:<\/strong> \ub514\ucf54\ub354\uac00 \uc778\ucf54\ub354\uc758 \uc774\uc804 \uc815\ubcf4\ub97c \ucc38\uc870\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\uc5ec \ubcf4\ub2e4 \ub098\uc740 \uc131\ub2a5\uc744 \ubc1c\ud718\ud569\ub2c8\ub2e4.<\/li>\n
\uc720\uc5f0\uc131:<\/strong> \ub2e4\uc591\ud55c \uc785\ub825 \ubc0f \ucd9c\ub825 \uae38\uc774\ub97c \uc9c0\uc6d0\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud3ed\ub113\uc740 \uc751\uc6a9\uc774 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n3. \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998<\/h2>\n\uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uc740 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\ub294 \uc911\uc694\ud55c \uae30\uc220\uc785\ub2c8\ub2e4. \uac04\ub2e8\ud788 \ub9d0\ud574, \uc5b4\ud150\uc158\uc740 \ub514\ucf54\ub354\uac00 \uc0dd\uc131\ud560 \uac01 \ub2e8\uc5b4\ub97c \uc608\uce21\ud560 \ub54c \uc778\ucf54\ub354\uc758 \ubaa8\ub4e0 \uc785\ub825 \ub2e8\uc5b4\uc5d0 \ub300\ud574 \uac00\uc911\uce58\ub97c \ubd80\uc5ec\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc740 \uad00\ub828\uc131\uc774 \ub192\uc740 \uc785\ub825 \uc815\ubcf4\uc5d0 \ub354 \uc9d1\uc911\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3.1 \uae30\ubcf8 \uc5b4\ud150\uc158<\/h3>\n\uae30\ubcf8 \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uc740 \uc785\ub825 \uc2dc\ud000\uc2a4\uc758 \uac01 \ub2e8\uc5b4\uc5d0 \ub300\ud574 \ud558\ub098\uc758 \uac00\uc911\uce58\ub97c \uacc4\uc0b0\ud558\uace0 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ucd9c\ub825 \uc2dc\ud000\uc2a4\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4:<\/p>\n
def attention(decoder_hidden_state, encoder_outputs):\n    scores = compute_scores(decoder_hidden_state, encoder_outputs)\n    attention_weights = softmax(scores)\n    context_vector = compute_context_vector(attention_weights, encoder_outputs)\n    return context_vector\n<\/code><\/pre>\n3.2 \uba40\ud2f0-\ud5e4\ub4dc \uc5b4\ud150\uc158<\/h3>\nTransformer \ubaa8\ub378\uc5d0\uc11c \uc81c\uc548\ub41c \uba40\ud2f0-\ud5e4\ub4dc \uc5b4\ud150\uc158\uc740 \uc5ec\ub7ec \uac1c\uc758 \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uc744 \ubcd1\ub82c\ub85c \uc218\ud589\ud558\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc740 \ub354 \ub9ce\uc740 \uc815\ubcf4\ub97c \ub3d9\uc2dc\uc5d0 \ucc98\ub9ac\ud560 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4.<\/p>\n
4. Transformer \ubaa8\ub378<\/h2>\n2017\ub144 Google\uc758 \uc5f0\uad6c\uc790\ub4e4\uc774 \ubc1c\ud45c\ud55c Transformer \ubaa8\ub378\uc740 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\uc758 \uc131\ub2a5\uc744 \ub354\uc6b1 \ud5a5\uc0c1\uc2dc\ud0a8 \ud601\uc2e0\uc801\uc778 \uc544\ud0a4\ud14d\ucc98\uc785\ub2c8\ub2e4. Transformer\ub294 \uc644\uc804 \uc5f0\uacb0\ub9dd(fully connected network) \uae30\ubc18\uc758 \uad6c\uc870\ub85c, RNN\uacfc LSTM\uc758 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud558\uace0 \ubcd1\ub82c \ucc98\ub9ac\uc758 \uc7a5\uc810\uc744 \uadf9\ub300\ud654\ud569\ub2c8\ub2e4.<\/p>\n
4.1 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c<\/h3>\nTransformer \ubaa8\ub378\uc740 \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354 \uac01 6\uac1c \uce35\uc73c\ub85c \uad6c\uc131\ub418\uba70, \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998, \ud3ec\uc9c0\uc154\ub110 \uc778\ucf54\ub529(positional encoding), \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \ub124\ud2b8\uc6cc\ud06c(feed-forward network) \ub4f1\uc758 \uad6c\uc131 \uc694\uc18c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \uad6c\uc131 \uc694\uc18c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc5ed\ud560\uc744 \uc218\ud589\ud569\ub2c8\ub2e4:<\/p>\n
\n\uc5b4\ud150\uc158 \ub808\uc774\uc5b4:<\/strong> \uc785\ub825 \uc2dc\ud000\uc2a4\uc758 \uac01 \ub2e8\uc5b4 \uac04\uc758 \uad00\uacc4\ub97c \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4.<\/li>\n
\ud3ec\uc9c0\uc154\ub110 \uc778\ucf54\ub529:<\/strong> \uc785\ub825 \uc2dc\ud000\uc2a4\uc758 \ub2e8\uc5b4 \uc21c\uc11c \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/li>\n
\ud53c\ub4dc \ud3ec\uc6cc\ub4dc \ub124\ud2b8\uc6cc\ud06c:<\/strong> \uac01 \ub2e8\uc5b4 \ud45c\ud604\uc744 \ub3c5\ub9bd\uc801\uc73c\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n5. \uc751\uc6a9 \ubd84\uc57c<\/h2>\n\uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \uc5ec\ub7ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uadf8 \uc911 \uc77c\ubd80\uc785\ub2c8\ub2e4:<\/p>\n
5.1 \uae30\uacc4 \ubc88\uc5ed<\/h3>\n\uc778\ucf54\ub354-\ub514\ucf54\ub354 \ubaa8\ub378\uc740 \uace0\ud488\uc9c8\uc758 \uae30\uacc4 \ubc88\uc5ed \uc2dc\uc2a4\ud15c \uad6c\ucd95\uc5d0 \uc8fc\uc694\ud558\uac8c \uc4f0\uc785\ub2c8\ub2e4. \uc785\ub825 \uc5b8\uc5b4\uc758 \ubb38\uc7a5\uc744 \uc778\ucf54\ub529\ud55c \ud6c4, \uc774\ub97c \uc6d0\ud558\ub294 \ucd9c\ub825 \uc5b8\uc5b4\ub85c \ubc88\uc5ed\ud569\ub2c8\ub2e4.<\/p>\n
5.2 \ud14d\uc2a4\ud2b8 \uc694\uc57d<\/h3>\n\uae34 \ubb38\uc11c\ub97c \uc9e7\uc740 \uc694\uc57d\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \uc791\uc5c5\uc5d0\uc11c\ub3c4 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \ubaa8\ub378\uc774 \uc8fc\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc785\ub825 \ubb38\uc11c\ub97c \uc694\uc57d\ud558\uc5ec \ud575\uc2ec \uc815\ubcf4\ub97c \uc804\ub2ec\ud569\ub2c8\ub2e4.<\/p>\n
5.3 \ub300\ud654 \uc0dd\uc131<\/h3>\n\ub300\ud654\ud615 AI \uc2dc\uc2a4\ud15c\uc5d0\uc11c\ub294 \uc0ac\uc6a9\uc790\uc758 \uc9c8\ubb38\uc774\ub098 \ubc1c\ud654\ub97c \uc778\ucf54\ub529\ud558\uace0, \uc801\uc808\ud55c \uc751\ub2f5\uc744 \uc0dd\uc131\ud558\ub294 \ub370 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub97c \ud65c\uc6a9\ud558\uc5ec \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \ub300\ud654\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n
6. \uacb0\ub860<\/h2>\n\uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ud2b9\ud788, \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uacfc Transformer \ubaa8\ub378\uc758 \ubc1c\uc804\uc740 \uc774 \uad6c\uc870\uc758 \uc131\ub2a5\uc744 \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ucf30\uc73c\uba70, \ub2e4\uc591\ud55c \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uc544\ud0a4\ud14d\ucc98\ub294 NLP \ubd84\uc57c\uc758 \ud575\uc2ec \uae30\uc220\ub85c \uc790\ub9ac \uc7a1\uc744 \uac83\uc73c\ub85c \uc608\uc0c1\ub429\ub2c8\ub2e4.<\/p>\n
\ucc38\uace0 \ubb38\ud5cc<\/h2>\n1. Vaswani, A., et al. (2017). Attention is All You Need. In Advances in Neural Information Processing Systems.<\/p>\n
2. Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural Machine Translation by Jointly Learning to Align and Translate. arXiv.<\/p>\n
3. Mikolov, T., et al. (2013). Distributed Representations of Words and Phrases and their Compositionality. In Advances in Neural Information Processing Systems.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\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\uac8c \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \ubd84\uc57c\ub294 \ud14d\uc2a4\ud2b8 \ubd84\uc11d, \uc5b8\uc5b4 \ubc88\uc5ed, \uac10\uc815 \ubd84\uc11d \ub4f1 \uc5ec\ub7ec \uac00\uc9c0 \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \uac04, \ub525 \ub7ec\ub2dd(deep learning) \uae30\ubc95\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5b4\ub0c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \ud2b9\ud788 \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. 1. \uae30\ubcf8 \uac1c\ub150 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \uc8fc\ub85c \uc2dc\ud000\uc2a4-\ud22c-\uc2dc\ud000\uc2a4(sequence-to-sequence) … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354”<\/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-25457","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: \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354 - \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\/25457\/\" \/>\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: \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354 - \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\uac8c \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \ubd84\uc57c\ub294 \ud14d\uc2a4\ud2b8 \ubd84\uc11d, \uc5b8\uc5b4 \ubc88\uc5ed, \uac10\uc815 \ubd84\uc11d \ub4f1 \uc5ec\ub7ec \uac00\uc9c0 \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \uac04, \ub525 \ub7ec\ub2dd(deep learning) \uae30\ubc95\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5b4\ub0c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \ud2b9\ud788 \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. 1. \uae30\ubcf8 \uac1c\ub150 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub294 \uc8fc\ub85c \uc2dc\ud000\uc2a4-\ud22c-\uc2dc\ud000\uc2a4(sequence-to-sequence) … \ub354 \ubcf4\uae30 "\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25457\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:55:17+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:01:41+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 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