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Dart \ud328\ud0a4\uc9c0 \uad00\ub9ac, pub.dev\uc5d0\uc11c \ud328\ud0a4\uc9c0 \uac80\uc0c9 \ubc0f \uc124\uce58","author":"root","date":"2024\ub144 11\uc6d4 28\uc77c","format":false,"excerpt":"Dart\ub294 \uad6c\uae00\uc774 \uac1c\ubc1c\ud55c \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub85c, \uc8fc\ub85c \ud50c\ub7ec\ud130(Flutter) \ud504\ub808\uc784\uc6cc\ud06c\uc640 \ud568\uaed8 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. Dart\uc758 \uc0dd\ud0dc\uacc4\uc5d0\uc11c \ud328\ud0a4\uc9c0 \uad00\ub9ac \uc2dc\uc2a4\ud15c\uc740 \uac1c\ubc1c\uc790\ub4e4\uc774 \ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ud328\ud0a4\uc9c0\ub97c \uc27d\uace0 \ud6a8\uc728\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 Dart\uc758 \ud328\ud0a4\uc9c0 \uad00\ub9ac\ub97c \ub2e4\ub8e8\uace0, pub.dev\uc5d0\uc11c \ud328\ud0a4\uc9c0\ub97c \uac80\uc0c9\ud558\uace0 \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc0c1\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. Dart \ud328\ud0a4\uc9c0 \uad00\ub9ac\uc758 \uc911\uc694\uc131 Dart\ub294 \uac04\ub2e8\ud55c \ubb38\ubc95\uacfc\u2026","rel":"","context":""\ud50c\ub7ec\ud130 \uac15\uc88c"\uc5d0\uc11c","block_context":{"text":"\ud50c\ub7ec\ud130 \uac15\uc88c","link":"https:\/\/atmokpo.com\/w\/category\/%ed%94%8c%eb%9f%ac%ed%84%b0-%ea%b0%95%ec%a2%8c\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":30096,"url":"https:\/\/atmokpo.com\/w\/30096\/","url_meta":{"origin":30070,"position":3},"title":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc804\ucc98\ub9ac, \uacb0\uce21\uce58 \ud655\uc778","author":"root","date":"2024\ub144 10\uc6d4 28\uc77c","format":false,"excerpt":"\ub525\ub7ec\ub2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc740 \ub370\uc774\ud130\uc758 \ud488\uc9c8\uc5d0 \ud06c\uac8c \uc88c\uc6b0\ub429\ub2c8\ub2e4. \ub530\ub77c\uc11c \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub294 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \uc788\uc5b4 \uac00\uc7a5 \uc911\uc694\ud55c \uacfc\uc815 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(Pytorch)\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub97c \uc218\ud589\ud558\uace0, \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uacb0\uce21\uce58\ub97c \ud655\uc778\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub780? \ub370\uc774\ud130 \uc804\ucc98\ub9ac(Data Preprocessing)\ub294 \uc6d0\ubcf8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uae30 \uc801\ud569\ud55c \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \uc5ec\ub7ec \ub2e8\uacc4\ub97c\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":25461,"url":"https:\/\/atmokpo.com\/w\/25461\/","url_meta":{"origin":30070,"position":4},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BART \ud30c\uc778 \ud29c\ub2dd \uc2e4\uc2b5: \ub274\uc2a4 \uc694\uc57d","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 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c, \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc790\uc5f0\uc5b4 \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":43352,"url":"https:\/\/atmokpo.com\/w\/43352\/","url_meta":{"origin":30070,"position":5},"title":"[Electron] 013. Electron \ubc30\ud3ec\ud558\uae30, \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \ud328\ud0a4\uc9d5 \ubc0f \ubc30\ud3ec \ubc29\ubc95","author":"root","date":"2024\ub144 11\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \ub0a0\uc9dc: [\ub0a0\uc9dc] 1. \uc11c\ub860 Electron\uc740 \uc6f9 \uae30\uc220\uc744 \ud65c\uc6a9\ud558\uc5ec \ub370\uc2a4\ud06c\ud0d1 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uac1c\ubc1c\ud560 \uc218 \uc788\ub294 \ud504\ub808\uc784\uc6cc\ud06c\ub85c, HTML, CSS, JavaScript\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud06c\ub85c\uc2a4 \ud50c\ub7ab\ud3fc \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uc27d\uac8c \ub9cc\ub4e4 \uc218 \uc788\uac8c \ud574 \uc90d\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uac1c\ubc1c\ud55c \ud6c4\uc5d0\ub294 \uc2e4\uc81c \uc0ac\uc6a9\uc790\uc5d0\uac8c \ubc30\ud3ec\ud574\uc57c \ud569\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ub2e8\uc21c\ud788 \uc18c\uc2a4 \ucf54\ub4dc\ub97c \uc81c\uacf5\ud558\ub294 \uac83\ub9cc\uc73c\ub85c\ub294 \uc0ac\uc6a9\uc790\uac00 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uc190\uc27d\uac8c \uc124\uce58\ud558\uace0 \uc0ac\uc6a9\ud560 \uc218 \uc5c6\uc73c\ubbc0\ub85c,\u2026","rel":"","context":""electron"\uc5d0\uc11c","block_context":{"text":"electron","link":"https:\/\/atmokpo.com\/w\/category\/electron\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/30070","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=30070"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/30070\/revisions"}],"predecessor-version":[{"id":30071,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/30070\/revisions\/30071"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=30070"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=30070"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=30070"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":30070,"date":"2024-10-28T03:19:27","date_gmt":"2024-10-28T03:19:27","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=30070"},"modified":"2024-11-26T06:50:09","modified_gmt":"2024-11-26T06:50:09","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%95%84%eb%82%98%ec%bd%98%eb%8b%a4-%ec%84%a4%ec%b9%98","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/30070\/","title":{"rendered":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc544\ub098\ucf58\ub2e4 \uc124\uce58"},"content":{"rendered":"

<\/p>\n

\n \ub525\ub7ec\ub2dd\uc740 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c\uc11c, \ud2b9\ud788 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ud30c\uc774\ud1a0\uce58(PyTorch)\ub294 \uc774\ub7ec\ud55c \ub525\ub7ec\ub2dd\uc744 \uc27d\uac8c \uad6c\ud604\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \uc778\uae30 \uc788\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uc544\ub098\ucf58\ub2e4(Anaconda) \ud658\uacbd\uc744 \ud65c\uc6a9\ud558\uc5ec \ud30c\uc774\ud1a0\uce58\ub97c \uc124\uce58\ud558\uace0 \uc124\uc815\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc18c\uac1c\ud569\ub2c8\ub2e4.\n<\/p>\n

1. \uc544\ub098\ucf58\ub2e4\ub780 \ubb34\uc5c7\uc778\uac00?<\/h2>\n
\n \uc544\ub098\ucf58\ub2e4\ub294 \ub370\uc774\ud130 \uacfc\ud559, \uba38\uc2e0\ub7ec\ub2dd, \ub525\ub7ec\ub2dd\uc744 \uc704\ud55c \ud30c\uc774\uc36c \ubc30\ud3ec\ud310\uc785\ub2c8\ub2e4. \uc774 \ubc30\ud3ec\ud310\uc740 \ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ub3c4\uad6c\ub97c \ud3ec\ud568\ud558\uace0 \uc788\uc73c\uba70, \uac04\ud3b8\ud55c \ud328\ud0a4\uc9c0 \uad00\ub9ac \ubc0f \ud658\uacbd \uad00\ub9ac\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc544\ub098\ucf58\ub2e4\ub97c \uc0ac\uc6a9\ud558\uba74 \ud2b9\uc815 \ud504\ub85c\uc81d\ud2b8\uc5d0 \ub9de\ub294 \ud30c\uc774\uc36c \ud658\uacbd\uc744 \uc27d\uac8c \uc0dd\uc131\ud558\uace0 \uad00\ub9ac\ud560 \uc218 \uc788\uc5b4, \ub77c\uc774\ube0c\ub7ec\ub9ac \ubc84\uc804 \uac04\uc758 \ucda9\ub3cc\uc744 \ubc29\uc9c0\ud558\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.\n<\/p>\n

1.1. \uc544\ub098\ucf58\ub2e4\uc758 \ud2b9\uc9d5<\/h3>\n
\n
\ud328\ud0a4\uc9c0 \uad00\ub9ac:<\/strong> conda \ud328\ud0a4\uc9c0 \uad00\ub9ac\uc790\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud558\uace0 \uad00\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\ud658\uacbd \uad00\ub9ac:<\/strong> \ud504\ub85c\uc81d\ud2b8\ubcc4\ub85c \ub3c5\ub9bd\uc801\uc778 \ud30c\uc774\uc36c \ud658\uacbd\uc744 \uc0dd\uc131\ud558\uc5ec \ub77c\uc774\ube0c\ub7ec\ub9ac \uac04\uc758 \ucda9\ub3cc\uc744 \ubc29\uc9c0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac:<\/strong> NumPy, SciPy, Pandas, Matplotlib \ub4f1 \ub370\uc774\ud130 \uacfc\ud559\uacfc \uad00\ub828\ub41c \ub9ce\uc740 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud3ec\ud568\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2. \uc544\ub098\ucf58\ub2e4 \uc124\uce58\ud558\uae30<\/h2>\n
\n \uc544\ub098\ucf58\ub2e4\ub97c \uc124\uce58\ud558\ub294 \uacfc\uc815\uc740 \uac04\ub2e8\ud569\ub2c8\ub2e4. \uc544\ub798 \ub2e8\uacc4\uc5d0 \ub530\ub77c \uc544\ub098\ucf58\ub2e4\ub97c \ub2e4\uc6b4\ub85c\ub4dc\ud558\uace0 \uc124\uce58\ud574\ubd05\uc2dc\ub2e4.\n<\/p>\n
2.1. \uc544\ub098\ucf58\ub2e4 \ub2e4\uc6b4\ub85c\ub4dc<\/h3>\n
\n \uc544\ub098\ucf58\ub2e4\uc758 \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c \uc124\uce58 \ud30c\uc77c\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ub9c1\ud06c\ub97c \ud074\ub9ad\ud558\uc5ec \ub2e4\uc6b4\ub85c\ub4dc \ud398\uc774\uc9c0\ub85c \uc774\ub3d9\ud569\ub2c8\ub2e4: Anaconda Distribution<\/a>.\n<\/p>\n
\n \ubcf8\uc778\uc758 \uc6b4\uc601\uccb4\uc81c\uc5d0 \ub9de\ub294 \uc124\uce58 \ud30c\uc77c\uc744 \uc120\ud0dd\ud558\uc5ec \ub2e4\uc6b4\ub85c\ub4dc\ud569\ub2c8\ub2e4. (Windows, macOS, Linux \uc9c0\uc6d0)\n<\/p>\n
2.2. \uc124\uce58 \uacfc\uc815<\/h3>\n
\n \ub2e4\uc6b4\ub85c\ub4dc\uac00 \uc644\ub8cc\ub418\uba74, \uc124\uce58 \ud504\ub85c\uadf8\ub7a8\uc744 \uc2e4\ud589\ud569\ub2c8\ub2e4. \uac01 \uc6b4\uc601\uccb4\uc81c\uc5d0 \ub530\ub77c \ub2e4\ub974\uc9c0\ub9cc \uc77c\ubc18\uc801\uc73c\ub85c \uc544\ub798\uc640 \uac19\uc740 \ub2e8\uacc4\ub85c \uc9c4\ud589\ub429\ub2c8\ub2e4.\n<\/p>\n
\n
\uc124\uce58 \ud504\ub85c\uadf8\ub7a8 \uc2e4\ud589:<\/strong> \ub2e4\uc6b4\ub85c\ub4dc\ub41c \uc124\uce58 \ud30c\uc77c\uc744 \ub354\ube14 \ud074\ub9ad\ud558\uc5ec \uc2e4\ud589\ud569\ub2c8\ub2e4.<\/li>\n
\ub77c\uc774\uc13c\uc2a4 \ub3d9\uc758:<\/strong> \ub77c\uc774\uc13c\uc2a4 \uacc4\uc57d\uc5d0 \ub3d9\uc758\ud558\ub294 \uccb4\ud06c\ubc15\uc2a4\ub97c \uc120\ud0dd\ud558\uace0 “Next”\ub97c \ud074\ub9ad\ud569\ub2c8\ub2e4.<\/li>\n
\uc124\uce58 \uc720\ud615 \uc120\ud0dd:<\/strong> “Just Me”\ub97c \uc120\ud0dd\ud558\uba74 \uac1c\uc778\uc6a9\uc73c\ub85c\ub9cc \uc124\uce58\ub429\ub2c8\ub2e4. “All Users”\ub97c \uc120\ud0dd\ud558\uba74 \ubaa8\ub4e0 \uc0ac\uc6a9\uc790\uac00 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\uc124\uce58 \uacbd\ub85c \uc120\ud0dd:<\/strong> \uae30\ubcf8 \uc124\uce58 \uacbd\ub85c\ub97c \uadf8\ub300\ub85c \ub450\uac70\ub098, \uc6d0\ud558\uc2dc\ub294 \uacbd\ub85c\ub85c \ubcc0\uacbd \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/li>\n
\uae30\ud0c0 \uc124\uc815:<\/strong> \ud658\uacbd \ubcc0\uc218\ub97c \uc124\uc815\ud560 \uac83\uc778\uc9c0 \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. (\uad8c\uc7a5)<\/li>\n
\uc124\uce58 \uc9c4\ud589:<\/strong> “Install” \ubc84\ud2bc\uc744 \ud074\ub9ad\ud558\uc5ec \uc124\uce58\ub97c \uc2dc\uc791\ud569\ub2c8\ub2e4.<\/li>\n
\uc124\uce58 \uc644\ub8cc:<\/strong> “Finish” \ubc84\ud2bc\uc744 \ud074\ub9ad\ud558\uc5ec \uc124\uce58\ub97c \uc885\ub8cc\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n2.3. \uc544\ub098\ucf58\ub2e4 \ud655\uc778<\/h3>\n
\n \uc544\ub098\ucf58\ub2e4 \uc124\uce58\uac00 \uc644\ub8cc\ub418\uba74, \uc544\ub098\ucf58\ub2e4 \ud504\ub86c\ud504\ud2b8(Anaconda Prompt)\ub97c \uc5f4\uc5b4 \uc124\uce58\uac00 \uc815\uc0c1\uc801\uc73c\ub85c \uc774\ub8e8\uc5b4\uc84c\ub294\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4. \uc544\ub098\ucf58\ub2e4 \ud504\ub86c\ud504\ud2b8\ub294 \uc2dc\uc791 \uba54\ub274\uc5d0\uc11c “Anaconda Prompt”\ub97c \uac80\uc0c9\ud558\uc5ec \uc5f4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n
conda --version<\/code><\/pre>\n\n \uc704 \uba85\ub839\uc5b4\ub97c \uc785\ub825\ud558\uba74 \uc124\uce58\ub41c conda\uc758 \ubc84\uc804\uc774 \ucd9c\ub825\ub429\ub2c8\ub2e4. \ub9cc\uc57d \ucd9c\ub825\uc774 \uc5c6\ub2e4\uba74, \uc124\uce58\uac00 \uc81c\ub300\ub85c \uc774\ub8e8\uc5b4\uc9c0\uc9c0 \uc54a\uc740 \uac83\uc785\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \uc124\uce58 \uacfc\uc815\uc744 \ub2e4\uc2dc \ud655\uc778\ud574 \uc8fc\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.\n<\/p>\n 3. \uc0c8\ub85c\uc6b4 \uc544\ub098\ucf58\ub2e4 \ud658\uacbd \ub9cc\ub4e4\uae30<\/h2>\n\n \uc774\uc81c \uc544\ub098\ucf58\ub2e4\ub97c \ud65c\uc6a9\ud558\uc5ec \ub525\ub7ec\ub2dd\uc5d0 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud560 \uc0c8\ub85c\uc6b4 \ud658\uacbd\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798 \ub2e8\uacc4\uc5d0 \ub530\ub77c \uc9c4\ud589\ud574 \uc8fc\uc138\uc694.\n<\/p>\n
3.1. \uc0c8\ub85c\uc6b4 \ud658\uacbd \uc0dd\uc131<\/h3>\n
`conda create --name mypytorch python=3.8<\/code><\/pre>\n\n \uc704 \uba85\ub839\uc5b4\ub97c \uc785\ub825\ud558\uba74 “mypytorch”\ub77c\ub294 \uc774\ub984\uc758 \uc0c8\ub85c\uc6b4 \ud658\uacbd\uc774 \uc0dd\uc131\ub429\ub2c8\ub2e4. \uc5ec\uae30\uc11c “python=3.8″\uc740 \ud574\ub2f9 \ud658\uacbd\uc5d0\uc11c \uc0ac\uc6a9\ud560 Python\uc758 \ubc84\uc804\uc744 \uc124\uc815\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.\n<\/p>\n`
3.2. \ud658\uacbd \ud65c\uc131\ud654<\/h3>\n
conda activate mypytorch<\/code><\/pre>\n\n \uc0c8\ub85c \uc0dd\uc131\ud55c \ud658\uacbd\uc744 \ud65c\uc131\ud654\ud569\ub2c8\ub2e4. \ud658\uacbd\uc774 \ud65c\uc131\ud654\ub418\uba74 \ud504\ub86c\ud504\ud2b8\uc758 \uc774\ub984\uc774 \ubcc0\uacbd\ub429\ub2c8\ub2e4.\n<\/p>\n 3.3. PyTorch \uc124\uce58\ud558\uae30<\/h3>\n\n \ud658\uacbd\uc744 \ud65c\uc131\ud654\ud55c \ud6c4, PyTorch\ub97c \uc124\uce58\ud569\ub2c8\ub2e4. PyTorch \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. (\uc124\uce58\ud558\uace0\uc790 \ud558\ub294 CUDA \ubc84\uc804\uc5d0 \ub530\ub77c \ub2e4\ub974\uac8c \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.)\n<\/p>\n conda install pytorch torchvision torchaudio cpuonly -c pytorch<\/code><\/pre>\n\n \uc704 \uba85\ub839\uc5b4\ub294 PyTorch, TorchVision, Torchaudio\ub97c CPU \uc804\uc6a9\uc73c\ub85c \uc124\uce58\ud569\ub2c8\ub2e4. CUDA\ub97c \uc9c0\uc6d0\ud558\ub294 GPU\uc5d0 \uc124\uce58\ud558\ub824\uba74 \ud574\ub2f9 CUDA \ubc84\uc804\uc744 \uc120\ud0dd\ud558\uc5ec \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n 4. PyTorch \uc124\uce58 \ud655\uc778<\/h2>\n\n PyTorch\uac00 \uc815\uc0c1\uc801\uc73c\ub85c \uc124\uce58\ub418\uc5c8\ub294\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 Python \uc778\ud130\ud504\ub9ac\ud130\ub97c \uc2e4\ud589\ud55c \ud6c4, \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc785\ub825\ud558\uc5ec \ud655\uc778\ud569\ub2c8\ub2e4.\n<\/p>\n python<\/code><\/pre>\nimport torch\nprint(torch.version)<\/code><\/pre>\n\n \uc704 \ucf54\ub4dc\ub97c \uc785\ub825\ud558\uba74 \uc124\uce58\ub41c PyTorch\uc758 \ubc84\uc804\uc774 \ucd9c\ub825\ub429\ub2c8\ub2e4. \ub9cc\uc57d \uc5d0\ub7ec\uac00 \ubc1c\uc0dd\ud558\uc9c0 \uc54a\uace0 \ubc84\uc804\uc774 \ucd9c\ub825\ub41c\ub2e4\uba74, PyTorch \uc124\uce58\uac00 \uc131\uacf5\uc801\uc73c\ub85c \uc774\ub8e8\uc5b4\uc9c4 \uac83\uc785\ub2c8\ub2e4.\n<\/p>\n 5. \uac04\ub2e8\ud55c PyTorch \ucf54\ub4dc \uc608\uc81c<\/h2>\n\n \uc774\uc81c PyTorch\uac00 \uc815\uc0c1\uc801\uc73c\ub85c \uc124\uce58\ub418\uc5c8\uc73c\ub2c8, \uac04\ub2e8\ud55c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\ub294 \ucf54\ub4dc\ub97c \uc791\uc131\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uad6c\ud604\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n<\/p>\n 5.1. \ub370\uc774\ud130 \uc0dd\uc131<\/h3>\nimport torch\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# \ub370\uc774\ud130 \uc0dd\uc131\nx = np.random.rand(100, 1) * 10 # 0\ubd80\ud130 10\uc0ac\uc774\uc758 \ub79c\ub364\uac12\ny = 2 * x + 1 + np.random.randn(100, 1) # y = 2x + 1 + noise\n\n# \ub370\uc774\ud130 \uc2dc\uac01\ud654\nplt.scatter(x, y)\nplt.xlabel('x')\nplt.ylabel('y')\nplt.title('Generated Data')\nplt.show()\n<\/code><\/pre>\n5.2. \ubaa8\ub378 \uc815\uc758<\/h3>\nimport torch.nn as nn\n\n# \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378 \uc815\uc758\nclass LinearRegressionModel(nn.Module):\n def init(self):\n super(LinearRegressionModel, self).init()\n self.linear = nn.Linear(1, 1) # \uc785\ub825 1, \ucd9c\ub825 1\n\n def forward(self, x):\n return self.linear(x)\n<\/code><\/pre>\n5.3. \uc190\uc2e4 \ud568\uc218 \ubc0f \uc635\ud2f0\ub9c8\uc774\uc800 \uc815\uc758<\/h3>\n# \uc190\uc2e4 \ud568\uc218\uc640 \uc635\ud2f0\ub9c8\uc774\uc800 \uc124\uc815\nmodel = LinearRegressionModel()\ncriterion = nn.MSELoss() # \ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28\noptimizer = torch.optim.SGD(model.parameters(), lr=0.01) # \ud655\ub960\uc801 \uacbd\uc0ac \ud558\uac15\ubc95\n<\/code><\/pre>\n5.4. \ubaa8\ub378 \ud559\uc2b5\ud558\uae30<\/h3>\n# \ub370\uc774\ud130 \ud150\uc11c\ub85c \ubcc0\ud658\nX = torch.from_numpy(x).float() # \uc785\ub825\nY = torch.from_numpy(y).float() # \ucd9c\ub825\n\n# \ubaa8\ub378 \ud559\uc2b5\nfor epoch in range(100): # 100 epochs\n optimizer.zero_grad() # \uae30\uc6b8\uae30 \ucd08\uae30\ud654\n outputs = model(X) # \ubaa8\ub378 \uc608\uce21\n loss = criterion(outputs, Y) # \uc190\uc2e4 \uacc4\uc0b0\n loss.backward() # \uae30\uc6b8\uae30 \uacc4\uc0b0\n optimizer.step() # \ud30c\ub77c\ubbf8\ud130 \uc5c5\ub370\uc774\ud2b8\n\n if (epoch+1) % 10 == 0:\n print(f'Epoch [{epoch+1}\/100], Loss: {loss.item():.4f}')\n<\/code><\/pre>\n5.5. \ud559\uc2b5 \uacb0\uacfc \uc2dc\uac01\ud654<\/h3>\n# \ud559\uc2b5 \uacb0\uacfc \uc2dc\uac01\ud654\npredicted = model(X).detach().numpy() # \ubaa8\ub378 \uc608\uce21\uac12\n\nplt.scatter(x, y, label='Original Data')\nplt.plot(x, predicted, color='red', label='Fitted Line')\nplt.xlabel('x')\nplt.ylabel('y')\nplt.title('Linear Regression Result')\nplt.legend()\nplt.show()\n<\/code><\/pre>\n6. \uacb0\ub860<\/h2>\n\n \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \uc544\ub098\ucf58\ub2e4\ub97c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uacfc \uadf8 \ud658\uacbd\uc5d0\uc11c PyTorch\ub97c \uc124\uce58\ud558\uace0, \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uad6c\ud604\ud574\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc544\ub098\ucf58\ub2e4\ub97c \ud1b5\ud574 \ud30c\uc774\uc36c \ud658\uacbd\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uad00\ub9ac\ud558\uace0, \ub525\ub7ec\ub2dd \uad00\ub828 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud558\ub294 \uac83\uc740 \ub370\uc774\ud130 \uacfc\ud559\uacfc \uba38\uc2e0\ub7ec\ub2dd \ubd84\uc57c\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uccab\uac78\uc74c\uc785\ub2c8\ub2e4.\n<\/p>\n \n \ub354 \ub098\uc544\uac00, \uc2e4\uc2b5\uc744 \ud1b5\ud574 PyTorch\uc758 \uae30\ubcf8 \uad6c\uc870\uc640 \uc0ac\uc6a9\ubc95\uc744 \uc775\ud788\uace0, \ub2e4\uc591\ud55c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ud604\ud574\ubcf4\ub294 \uac83\uc744 \ucd94\ucc9c\ud569\ub2c8\ub2e4. \uc5ec\ub7ec\ubd84\uc758 \ub525\ub7ec\ub2dd \uc5ec\uc815\uc774 \ud765\ubbf8\ub86d\uace0 \uc720\uc775\ud55c \uacbd\ud5d8\uc774 \ub418\uae38 \ubc14\ub78d\ub2c8\ub2e4.\n<\/p>\n <\/body><\/p>\n","protected":false},"excerpt":{"rendered":" \ub525\ub7ec\ub2dd\uc740 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c\uc11c, \ud2b9\ud788 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ud30c\uc774\ud1a0\uce58(PyTorch)\ub294 \uc774\ub7ec\ud55c \ub525\ub7ec\ub2dd\uc744 \uc27d\uac8c \uad6c\ud604\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \uc778\uae30 \uc788\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uc544\ub098\ucf58\ub2e4(Anaconda) \ud658\uacbd\uc744 \ud65c\uc6a9\ud558\uc5ec \ud30c\uc774\ud1a0\uce58\ub97c \uc124\uce58\ud558\uace0 \uc124\uc815\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc18c\uac1c\ud569\ub2c8\ub2e4. 1. \uc544\ub098\ucf58\ub2e4\ub780 \ubb34\uc5c7\uc778\uac00? \uc544\ub098\ucf58\ub2e4\ub294 \ub370\uc774\ud130 \uacfc\ud559, \uba38\uc2e0\ub7ec\ub2dd, \ub525\ub7ec\ub2dd\uc744 \uc704\ud55c \ud30c\uc774\uc36c \ubc30\ud3ec\ud310\uc785\ub2c8\ub2e4. \uc774 \ubc30\ud3ec\ud310\uc740 \ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ub3c4\uad6c\ub97c \ud3ec\ud568\ud558\uace0 \uc788\uc73c\uba70, … \ub354 \ubcf4\uae30 “\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc544\ub098\ucf58\ub2e4 \uc124\uce58”<\/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-30070","post","type-post","status-publish","format-standard","hentry","category-33"],"yoast_head":"\n\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc544\ub098\ucf58\ub2e4 \uc124\uce58 - \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\/30070\/\" \/>\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, \uc544\ub098\ucf58\ub2e4 \uc124\uce58 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd\uc740 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c\uc11c, \ud2b9\ud788 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ud30c\uc774\ud1a0\uce58(PyTorch)\ub294 \uc774\ub7ec\ud55c \ub525\ub7ec\ub2dd\uc744 \uc27d\uac8c \uad6c\ud604\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \uc778\uae30 \uc788\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uc544\ub098\ucf58\ub2e4(Anaconda) \ud658\uacbd\uc744 \ud65c\uc6a9\ud558\uc5ec \ud30c\uc774\ud1a0\uce58\ub97c \uc124\uce58\ud558\uace0 \uc124\uc815\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc18c\uac1c\ud569\ub2c8\ub2e4. 1. \uc544\ub098\ucf58\ub2e4\ub780 \ubb34\uc5c7\uc778\uac00? \uc544\ub098\ucf58\ub2e4\ub294 \ub370\uc774\ud130 \uacfc\ud559, \uba38\uc2e0\ub7ec\ub2dd, \ub525\ub7ec\ub2dd\uc744 \uc704\ud55c \ud30c\uc774\uc36c \ubc30\ud3ec\ud310\uc785\ub2c8\ub2e4. \uc774 \ubc30\ud3ec\ud310\uc740 \ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ub3c4\uad6c\ub97c \ud3ec\ud568\ud558\uace0 \uc788\uc73c\uba70, … \ub354 \ubcf4\uae30 "\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc544\ub098\ucf58\ub2e4 \uc124\uce58"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/30070\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T03:19:27+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:50:09+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" 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