{"id":477761,"date":"2023-08-09T09:19:52","date_gmt":"2023-08-09T09:19:52","guid":{"rendered":""},"modified":"2023-09-05T11:15:22","modified_gmt":"2023-09-05T11:15:22","slug":"keras","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/keras\/","title":{"rendered":"\ucf00\ub77c\uc2a4"},"content":{"rendered":"<p>Keras\ub294 Python\uc73c\ub85c \uc791\uc131\ub41c \uc624\ud508 \uc18c\uc2a4 \ub525 \ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\uc785\ub2c8\ub2e4. \uc0ac\uc6a9\uc790 \uce5c\ud654\uc131\uacfc \uc720\uc5f0\uc131\uc73c\ub85c \ub110\ub9ac \uc54c\ub824\uc838 \uc788\uc5b4 \uc2e0\uacbd\ub9dd\uc744 \uad6c\ucd95\ud558\uace0 \uc2e4\ud5d8\ud558\ub294 \uc5f0\uad6c\uc790, \uac1c\ubc1c\uc790, \ub370\uc774\ud130 \uacfc\ud559\uc790 \uc0ac\uc774\uc5d0\uc11c \uc778\uae30\uac00 \ub192\uc2b5\ub2c8\ub2e4. Keras\ub294 \ucc98\uc74c\uc5d0 Fran\u00e7ois Chollet\uc5d0 \uc758\ud574 2015\ub144\uc5d0 \ub3c5\ub9bd\ud615 \ud504\ub85c\uc81d\ud2b8\ub85c \uac1c\ubc1c\ub418\uc5c8\uc73c\uba70 \ub098\uc911\uc5d0 TensorFlow \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0 \ud1b5\ud569\ub418\uc5b4 \uacf5\uc2dd\uc801\uc778 \uace0\uae09 API\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \ud504\ub808\uc784\uc6cc\ud06c\ub97c \ud1b5\ud574 \uc0ac\uc6a9\uc790\ub294 \ucd5c\uc18c\ud55c\uc758 \ub178\ub825\uc73c\ub85c \ubcf5\uc7a1\ud55c \uc2e0\uacbd\ub9dd \ubaa8\ub378\uc744 \uc815\uc758\ud558\uace0 \ud6c8\ub828\ud560 \uc218 \uc788\uc73c\ubbc0\ub85c \ub525 \ub7ec\ub2dd \ubd84\uc57c\uc758 \ucd08\ubcf4\uc790\uc640 \uc804\ubb38\uac00 \ubaa8\ub450\uac00 \uc811\uadfc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>Keras\uc758 \uc720\ub798\uc640 \ucd5c\ucd08 \uc5b8\uae09\uc758 \uc5ed\uc0ac<\/h2>\n<p>Keras\uc758 \uc5ed\uc0ac\ub294 Fran\u00e7ois Chollet\uc774 \uac1c\uc778\uc801\uc778 \ub178\ub825\uc73c\ub85c \ud504\ub85c\uc81d\ud2b8 \uc791\uc5c5\uc744 \uc2dc\uc791\ud55c 2010\ub144\ub300 \ucd08\ub85c \uac70\uc2ac\ub7ec \uc62c\ub77c\uac11\ub2c8\ub2e4. \uadf8\uc758 \uc8fc\uc694 \ubaa9\ud45c\ub294 \uc2e0\uc18d\ud55c \uc2e4\ud5d8\uacfc \ud504\ub85c\ud1a0\ud0c0\uc785 \uc81c\uc791\uc744 \uac00\ub2a5\ud558\uac8c \ud558\ub294 \uc0ac\uc6a9\uc790 \uce5c\ud654\uc801\uc778 \ub525 \ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\ub97c \ub9cc\ub4dc\ub294 \uac83\uc774\uc5c8\uc2b5\ub2c8\ub2e4. 2015\ub144 3\uc6d4 Fran\u00e7ois\ub294 \uacf5\uc2dd\uc801\uc73c\ub85c GitHub\uc5d0 Keras\ub97c \ucd9c\uc2dc\ud558\uc5ec \ub525 \ub7ec\ub2dd \ucee4\ubba4\ub2c8\ud2f0\ub85c\ubd80\ud130 \ube60\ub978 \uc778\uc815\uacfc \uac10\uc0ac\ub97c \ubc1b\uc558\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ucf00\ub77c\uc2a4\uc5d0 \ub300\ud55c \uccab \ubc88\uc9f8 \uc5b8\uae09\uc740 \ub2e8\uc21c\uc131\uacfc \uc0ac\uc6a9 \ud3b8\uc758\uc131\uc744 \uc6b0\uc120\uc2dc\ud55c \ub3c5\ud2b9\ud55c \ub514\uc790\uc778\uc73c\ub85c \uc778\ud574 \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uc558\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd \ub9e4\ub2c8\uc544\uc640 \uc5f0\uad6c\uc790\ub4e4\uc740 \ud558\uc704 \uc218\uc900 \uc138\ubd80 \uc0ac\ud56d\uc758 \ubcf5\uc7a1\uc131\uc5d0 \uc5bd\ub9e4\uc774\uc9c0 \uc54a\uace0 \ud601\uc2e0\uc801\uc778 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \uc9d1\uc911\ud560 \uc218 \uc788\ub294 \uc9c1\uad00\uc801\uc778 API\uc5d0 \ud765\ubbf8\ub97c \ub290\uaf08\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>Keras\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc815\ubcf4\uc785\ub2c8\ub2e4. Keras \uc8fc\uc81c \ud655\uc7a5<\/h2>\n<p>Keras\ub294 \ubaa8\ub4c8\uc131\uacfc \ud655\uc7a5\uc131\uc758 \uc6d0\uce59\uc744 \ubc14\ud0d5\uc73c\ub85c \uad6c\ucd95\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc0ac\uc804 \uad6c\ucd95\ub41c \ub2e4\uc591\ud55c \ub808\uc774\uc5b4, \ud65c\uc131\ud654 \uae30\ub2a5, \ucd5c\uc801\ud654 \uc54c\uace0\ub9ac\uc998 \ubc0f \uc190\uc2e4 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \ubaa8\ub4c8\uc2dd \uc811\uadfc \ubc29\uc2dd\uc740 \uc0ac\uc804 \uc815\uc758\ub41c \uad6c\uc131 \uc694\uc18c\ub97c \uc313\uac70\ub098 \uc5f0\uacb0\ud558\uc5ec \ubcf5\uc7a1\ud55c \uc2e0\uacbd\ub9dd \uad6c\ucd95\uc744 \uc6a9\uc774\ud558\uac8c \ud569\ub2c8\ub2e4. \ub610\ud55c Keras\ub294 \uae30\ub2a5\uc801 API\ub97c \ud1b5\ud574 \ud2b9\uc815 \uc694\uad6c \uc0ac\ud56d\uc5d0 \ub9de\uac8c \ubaa8\ub378\uc744 \uc0ac\uc6a9\uc790 \uc815\uc758\ud560 \uc218 \uc788\ub294 \uc790\uc720\ub97c \uc81c\uacf5\ud558\ubbc0\ub85c \ub2e4\uc911 \uc785\ub825 \ubc0f \ub2e4\uc911 \ucd9c\ub825 \uc544\ud0a4\ud14d\ucc98\uac00 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/p>\n<p>TensorFlow\uc640\uc758 \uc6d0\ud65c\ud55c \ud1b5\ud569\uc744 \ud1b5\ud574 Keras\ub294 TensorFlow\uc758 \uace0\uae09 \uae30\ub2a5, \ud655\uc7a5\uc131 \ubc0f \ubc30\ud3ec \uc635\uc158\uc758 \uc774\uc810\uc744 \ub204\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud1b5\ud569\uc73c\ub85c Keras\ub97c \ud504\ub85c\ub355\uc158 \uc218\uc900 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uacfc \ub300\uaddc\ubaa8 \ub525 \ub7ec\ub2dd \ud504\ub85c\uc81d\ud2b8\uc5d0 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uae30\ud68c\uac00 \uc5f4\ub838\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\ucf00\ub77c\uc2a4\uc758 \ub0b4\ubd80 \uad6c\uc870. \ucf00\ub77c\uc2a4 \uc791\ub3d9 \ubc29\uc2dd<\/h2>\n<p>Keras\ub294 \ub525\ub7ec\ub2dd\uc758 \ubcf5\uc7a1\uc131\uc744 \ucd94\uc0c1\ud654\ud558\ub294 \ub192\uc740 \uc218\uc900\uc758 API \uc124\uacc4\ub97c \ub530\ub985\ub2c8\ub2e4. \uc544\ud0a4\ud14d\ucc98\ub294 \uc138 \uac00\uc9c0 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ubc31\uc5d4\ub4dc:<\/strong> \ubc31\uc5d4\ub4dc\ub294 Keras\uc758 \uacc4\uc0b0 \uc791\uc5c5\uc744 \uc2e4\ud589\ud558\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc0ac\uc6a9\uc790\ub294 \uc120\ud638\ub3c4\ub098 \ud558\ub4dc\uc6e8\uc5b4 \ud638\ud658\uc131\uc5d0 \ub530\ub77c TensorFlow, Theano \ub610\ub294 CNTK\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \ubc31\uc5d4\ub4dc \uc5d4\uc9c4 \uc911\uc5d0\uc11c \uc120\ud0dd\ud560 \uc218 \uc788\ub294 \uc720\uc5f0\uc131\uc744 \uac16\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub808\uc774\uc5b4:<\/strong> Keras\ub294 \uc870\ubc00(\uc644\uc804 \uc5f0\uacb0), \ucee8\ubc8c\ub8e8\uc158, \ubc18\ubcf5, \ud480\ub9c1 \ub4f1\uc744 \ud3ec\ud568\ud55c \ub2e4\uc591\ud55c \ub808\uc774\uc5b4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub808\uc774\uc5b4\ub97c \uacb0\ud569\ud558\uace0 \uc313\uc544\uc11c \uac15\ub825\ud55c \uc2e0\uacbd\ub9dd \uc544\ud0a4\ud14d\ucc98\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubaa8\ub378:<\/strong> Keras\uc758 \ud575\uc2ec \ube4c\ub529 \ube14\ub85d\uc740 Model \ud074\ub798\uc2a4\ub85c, \uc774\ub97c \ud1b5\ud574 \uc0ac\uc6a9\uc790\ub294 \ub808\uc774\uc5b4\ub97c \uc751\uc9d1\ub825 \uc788\ub294 \uad6c\uc870\ub85c \uad6c\uc131\ud558\uc5ec \uc2e0\uacbd\ub9dd\uc744 \ud615\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Keras\ub294 \uc120\ud615 \uc2a4\ud0dd\ud615 \uc544\ud0a4\ud14d\ucc98\uc5d0 \uc801\ud569\ud55c Sequential \ubaa8\ub378\uacfc \ubcf4\ub2e4 \ubcf5\uc7a1\ud55c \ub2e4\uc911 \uc785\ub825 \ubc0f \ub2e4\uc911 \ucd9c\ub825 \ub124\ud2b8\uc6cc\ud06c\ub97c \uc704\ud55c \uae30\ub2a5\uc801 API\ub97c \ubaa8\ub450 \uc9c0\uc6d0\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>Keras\uc758 \uc8fc\uc694 \uae30\ub2a5 \ubd84\uc11d<\/h2>\n<p>Keras\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub3c5\ud2b9\ud55c \uae30\ub2a5\uc73c\ub85c \uc778\ud574 \ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c \uc911\uc5d0\uc11c \ub450\uac01\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uc0ac\uc6a9\uc790 \uce5c\ud654\uc801:<\/strong> Keras\ub294 \uc9c1\uad00\uc801\uc774\uace0 \uac04\ub2e8\ud55c API\ub97c \uc81c\uacf5\ud558\ubbc0\ub85c \ucd08\ubcf4\uc790\ub3c4 \ub525\ub7ec\ub2dd\uc744 \uc27d\uac8c \uc2dc\uc791\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubaa8\ub4c8\uc131:<\/strong> \ud504\ub808\uc784\uc6cc\ud06c\uc758 \ubaa8\ub4c8\uc2dd \uc124\uacc4\ub97c \ud1b5\ud574 \uc0ac\uc6a9\uc790\ub294 \uc0ac\uc804 \uad6c\ucd95\ub41c \uad6c\uc131 \uc694\uc18c\ub97c \uacb0\ud569\ud558\uc5ec \uc2e0\uacbd\ub9dd\uc744 \uad6c\ucd95\ud558\uace0 \uc2e4\ud5d8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc720\uc5f0\uc131:<\/strong> \ub2e4\uc591\ud55c \ubc31\uc5d4\ub4dc \uc635\uc158\uacfc TensorFlow\uc640\uc758 \uc6d0\ud65c\ud55c \ud1b5\ud569\uc744 \ud1b5\ud574 Keras\ub294 \ub2e4\uc591\ud55c \ud558\ub4dc\uc6e8\uc5b4 \ubc0f \ubc30\ud3ec \uc694\uad6c \uc0ac\ud56d\uc5d0 \uc801\uc751\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud655\uc7a5\uc131:<\/strong> \uc0ac\uc6a9\uc790\ub294 \ub9de\ucda4\ud615 \ub808\uc774\uc5b4, \uc190\uc2e4 \ud568\uc218, \uae30\ud0c0 \uad6c\uc131\uc694\uc18c\ub97c \uac1c\ubc1c\ud558\uc5ec Keras\uc758 \uae30\ub2a5\uc744 \ud655\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ucee4\ubba4\ub2c8\ud2f0 \uc9c0\uc6d0:<\/strong> Keras\ub294 \uad11\ubc94\uc704\ud55c \ubb38\uc11c, \ud29c\ud1a0\ub9ac\uc5bc, \ucf54\ub4dc \uc608\uc81c\ub97c \uc81c\uacf5\ud558\ub294 \ud65c\uae30\ucc28\uace0 \ud65c\ub3d9\uc801\uc778 \ucee4\ubba4\ub2c8\ud2f0\ub97c \ubcf4\uc720\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\ucf00\ub77c\uc2a4\uc758 \uc885\ub958<\/h2>\n<p>Keras\ub294 \ub2e4\uc591\ud55c \uc694\uad6c\ub97c \ucda9\uc871\ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \ud615\ud0dc\ub85c \uc81c\uacf5\ub429\ub2c8\ub2e4. \uae30\ubcf8 \uc720\ud615\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ub3c5\ub9bd\ud615 \ucf00\ub77c\uc2a4:<\/strong> TensorFlow\uc640 \ud1b5\ud569\ub418\uae30 \uc804\uc758 \uc6d0\ub798 \ub3c5\ub9bd\ud615 Keras \ubc84\uc804\uc785\ub2c8\ub2e4. \uc5ec\uc804\ud788 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc9c0\ub9cc \ub300\ubd80\ubd84\uc758 \uc0ac\uc6a9\uc790\ub294 TensorFlow\uc758 \ucd94\uac00 \uc774\uc810\uc744 \uc704\ud574 \ud1b5\ud569 \ubc84\uc804\uc744 \uc120\ud638\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>TensorFlow\uc758 Keras API:<\/strong> \uc774\ub294 TensorFlow \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0 \ud1b5\ud569\ub41c Keras\uc758 \uacf5\uc2dd \ubc84\uc804\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uc744 \ud1b5\ud574 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. <code data-no-translation=\"\">tf.keras<\/code> TensorFlow \uc0ac\uc6a9\uc790\uc5d0\uac8c \uad8c\uc7a5\ub418\ub294 \uc120\ud0dd\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>Keras \uc0ac\uc6a9\ubc29\ubc95\uacfc \uc0ac\uc6a9\uc5d0 \ub530\ub978 \ubb38\uc81c\uc810 \ubc0f \ud574\uacb0\ubc29\ubc95<\/h2>\n<p>Keras\ub294 \ub525\ub7ec\ub2dd \ud504\ub85c\uc81d\ud2b8\uc758 \ubcf5\uc7a1\uc131\uacfc \uaddc\ubaa8\uc5d0 \ub530\ub77c \ub2e4\uc591\ud55c \ubc29\uc2dd\uc73c\ub85c \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uba87 \uac00\uc9c0 \uc77c\ubc18\uc801\uc778 \uc0ac\uc6a9 \uc2dc\ub098\ub9ac\uc624\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ucd08\ubcf4\uc790 \ud504\ub85c\uc81d\ud2b8:<\/strong> \ucd08\ubcf4\uc790\ub97c \uc704\ud574 Keras\ub294 \uc791\uc740 \ub370\uc774\ud130\uc138\ud2b8\uc5d0\uc11c \ud53c\ub4dc\ud3ec\uc6cc\ub4dc \ub610\ub294 \ucee8\ubcfc\ub8e8\uc158 \uc2e0\uacbd\ub9dd\uacfc \uac19\uc740 \uae30\ubcf8 \uc2e0\uacbd\ub9dd\uc744 \uad6c\ud604\ud558\uace0 \ud6c8\ub828\ud560 \uc218 \uc788\ub294 \uac04\ub2e8\ud55c \ubc29\ubc95\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc5f0\uad6c \ubc0f \ud504\ub85c\ud1a0\ud0c0\uc774\ud551:<\/strong> \uc5f0\uad6c\uc790\uc640 \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \uc0ac\uc6a9 \ud3b8\uc758\uc131\uacfc \ube60\ub978 \ubaa8\ub378 \ubc18\ubcf5 \uae30\ub2a5\uc73c\ub85c \uc778\ud574 \uc2e0\uc18d\ud55c \ud504\ub85c\ud1a0\ud0c0\uc774\ud551\uacfc \uc2e4\ud5d8\uc744 \uc704\ud574 Keras\ub97c \ud65c\uc6a9\ud558\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc804\uc774 \ud559\uc2b5:<\/strong> Keras\ub294 \ub300\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud574 \ud6c8\ub828\ub41c \ubaa8\ub378\uc774 \ud2b9\uc815 \uc791\uc5c5\uc5d0 \ub9de\uac8c \uc870\uc815\ub418\ub294 \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378 \ubc0f \uc804\uc774 \ud559\uc2b5\uc758 \uc0ac\uc6a9\uc744 \uc6a9\uc774\ud558\uac8c \ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud504\ub85c\ub355\uc158 \uc218\uc900 \uc560\ud50c\ub9ac\ucf00\uc774\uc158:<\/strong> \ub300\uaddc\ubaa8 \ud504\ub85c\ub355\uc158 \ubc30\ud3ec\uc758 \uacbd\uc6b0 TensorFlow\uc640 \ud1b5\ud569\ub41c Keras\ub97c \uc0ac\uc6a9\ud558\uba74 TensorFlow Serving \ub610\ub294 TensorFlow Lite\ub97c \ud1b5\ud574 \ud6a8\uc728\uc801\uc778 \ubd84\uc0b0 \uad50\uc721 \ubc0f \uc11c\ube44\uc2a4 \uc81c\uacf5\uc774 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<p>Keras \uc0ac\uc6a9\uacfc \uad00\ub828\ub41c \ubb38\uc81c\uc5d0\ub294 \uc885\uc885 \ub2e4\uc591\ud55c \ubc31\uc5d4\ub4dc\uc640\uc758 \ud638\ud658\uc131 \ubb38\uc81c\ub098 \ud2b9\uc815 \ud558\ub4dc\uc6e8\uc5b4\uc5d0 \ub300\ud55c \ubaa8\ub378 \ucd5c\uc801\ud654 \ubb38\uc81c\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uadf8\ub7ec\ub098 Keras\uc758 \ud65c\ubc1c\ud55c \ucee4\ubba4\ub2c8\ud2f0\uc640 \uad11\ubc94\uc704\ud55c \ubb38\uc11c\ub294 \uc0ac\uc6a9\uc790\uac00 \uc9c1\uba74\ud560 \uc218 \uc788\ub294 \ub300\ubd80\ubd84\uc758 \ubb38\uc81c\uc5d0 \ub300\ud55c \uc194\ub8e8\uc158\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<h2>\uc8fc\uc694 \ud2b9\uc9d5 \ubc0f \uae30\ud0c0 \uc720\uc0ac \uc6a9\uc5b4\uc640\uc758 \ube44\uad50<\/h2>\n<p>Keras\uc758 \uc911\uc694\uc131\uc744 \ub354 \uc798 \uc774\ud574\ud558\uae30 \uc704\ud574 \uc720\uc0ac\ud55c \ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\uc640 \ube44\uad50\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<table>\n<thead>\n<tr>\n<th>\ubf08\ub300<\/th>\n<th>\uc8fc\uc694\ud2b9\uc9d5<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\ucf00\ub77c\uc2a4<\/td>\n<td>\uc0ac\uc6a9\uc790 \uce5c\ud654\uc801\uc778 \ubaa8\ub4c8\uc2dd \ub514\uc790\uc778, TensorFlow \ud1b5\ud569, \uc720\uc5f0\uc131 \ubc0f \uac15\ub825\ud55c \ucee4\ubba4\ub2c8\ud2f0 \uc9c0\uc6d0.<\/td>\n<\/tr>\n<tr>\n<td>\ud150\uc11c\ud50c\ub85c\uc6b0<\/td>\n<td>\uac15\ud654 \ud559\uc2b5 \ub4f1\uc744 \uc704\ud55c \ub3c4\uad6c\ub97c \uac16\ucd98 \ub2e4\uc6a9\ub3c4\uc131, \ud655\uc7a5\uc131, \ud504\ub85c\ub355\uc158 \uc9c0\uc6d0, \ub354 \ub113\uc740 \uc0dd\ud0dc\uacc4<\/td>\n<\/tr>\n<tr>\n<td>\ud30c\uc774\ud1a0\uce58<\/td>\n<td>\ub3d9\uc801 \uacc4\uc0b0 \uadf8\ub798\ud504, \uc5f0\uad6c\uc5d0\uc11c\uc758 \uac15\ub825\ud55c \ucc44\ud0dd, \ub354 \uc26c\uc6b4 \ub514\ubc84\uae45 \ubc0f \ub354 \ub9ce\uc740 Pythonic \uad6c\ubb38.<\/td>\n<\/tr>\n<tr>\n<td>\uce74\ud398<\/td>\n<td>\ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc5d0 \ud2b9\ud654\ub418\uc5b4 \ucd94\ub860 \uc18d\ub3c4\uac00 \ube68\ub77c\uc9c0\uc9c0\ub9cc \ubaa8\ub378 \uc0ac\uc6a9\uc790 \uc815\uc758\uc5d0 \ub300\ud55c \uc720\uc5f0\uc131\uc740 \ub5a8\uc5b4\uc9d1\ub2c8\ub2e4.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Keras\ub294 \ub2e4\ub978 \ud504\ub808\uc784\uc6cc\ud06c\uc5d0 \ube44\ud574 \uc0ac\uc6a9\uc790 \uce5c\ud654\uc131\uacfc \uc0ac\uc6a9 \uc6a9\uc774\uc131\uc774 \ub6f0\uc5b4\ub098 \ucd08\ubcf4\uc790\uc640 \ube60\ub978 \ud504\ub85c\ud1a0\ud0c0\uc774\ud551\uc5d0 \uc911\uc810\uc744 \ub450\ub294 \uc0ac\ub78c\ub4e4\uc774 \uc120\ud638\ud558\ub294 \uc120\ud0dd\uc785\ub2c8\ub2e4.<\/p>\n<h2>\ucf00\ub77c\uc2a4\uc5d0 \uad00\ud55c \ubbf8\ub798\uc758 \uad00\uc810\uacfc \uae30\uc220<\/h2>\n<p>Keras\uc758 \ubbf8\ub798\ub294 \ub525\ub7ec\ub2dd \ubc0f \uadf8 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc758 \ubc1c\uc804\uacfc \ubc00\uc811\ud558\uac8c \uc5f0\uad00\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc774 \uacc4\uc18d \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c Keras\ub294 \uad00\ub828\uc131\uc744 \uc720\uc9c0\ud558\uae30 \uc704\ud574 \uc0c8\ub85c\uc6b4 \uae30\uc220\uacfc \uc544\ud0a4\ud14d\ucc98\ub97c \ud1b5\ud569\ud560 \uac83\uc73c\ub85c \uc608\uc0c1\ub429\ub2c8\ub2e4. Keras\uc758 \ud5a5\ud6c4 \uac1c\ubc1c \uac00\ub2a5\uc131\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ud5a5\uc0c1\ub41c \uc131\ub2a5:<\/strong> Keras\ub294 \uc9c0\uc18d\uc801\uc778 \ucd5c\uc801\ud654 \ub178\ub825\uc744 \ud1b5\ud574 \ub2e4\uc591\ud55c \ud558\ub4dc\uc6e8\uc5b4 \uc544\ud0a4\ud14d\ucc98\uc5d0 \ub300\ud55c \ub354 \ube60\ub978 \ud6c8\ub828\uacfc \ucd94\ub860\uc744 \uac00\ub2a5\ud558\uac8c \ud558\ub294 \uc774\uc810\uc744 \ub204\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>AutoML \ud1b5\ud569:<\/strong> Keras\uc5d0 \uc790\ub3d9\ud654\ub41c \uae30\uacc4 \ud559\uc2b5(AutoML) \uae30\uc220\uc744 \ud1b5\ud569\ud558\uba74 \uc0ac\uc6a9\uc790\uac00 \ucd5c\uc801\uc758 \uc2e0\uacbd\ub9dd \uc544\ud0a4\ud14d\ucc98\ub97c \uc790\ub3d9\uc73c\ub85c \uac80\uc0c9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc0c8\ub85c\uc6b4 \uc544\ud0a4\ud14d\ucc98 \uc9c0\uc6d0:<\/strong> \uc0c8\ub85c\uc6b4 \uc2e0\uacbd\ub9dd \uc544\ud0a4\ud14d\ucc98\uac00 \ub4f1\uc7a5\ud568\uc5d0 \ub530\ub77c Keras\ub294 \uc774\ub7ec\ud55c \ubaa8\ub378\uc744 \uc9c0\uc6d0\ud558\uc5ec \ub2e4\uc591\ud55c \uc601\uc5ed\uc5d0\uc11c \uc801\uc6a9 \uac00\ub2a5\uc131\uc744 \ub354\uc6b1 \ud655\uc7a5\ud560 \uac83\uc73c\ub85c \uc608\uc0c1\ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc9c0\uc18d\uc801\uc778 \uc5f0\uad6c \ud611\ub825:<\/strong> Keras\ub294 TensorFlow \ucee4\ubba4\ub2c8\ud2f0\uc640 \uae34\ubc00\ud55c \ud611\ub825\uc744 \uc720\uc9c0\ud558\uc5ec \ud574\ub2f9 \ubd84\uc57c\uc758 \ubc1c\uc804\uc744 \ub3c4\ubaa8\ud558\uace0 \uae30\uc5ec\ud560 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud558\uac70\ub098 Keras\uc640 \uc5f0\uacb0\ud558\ub294 \ubc29\ubc95<\/h2>\n<p>\ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ud2b9\ud788 \uc9c0\ub9ac\uc801 \ub610\ub294 \ub124\ud2b8\uc6cc\ud06c \uc81c\ud55c\uc73c\ub85c \uc778\ud574 \ub370\uc774\ud130 \uc561\uc138\uc2a4\ub098 \ubaa8\ub378 \uc81c\uacf5\uc774 \uc81c\ud55c\ub418\ub294 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c Keras \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc758 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Keras\uc640 \ud568\uaed8 \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ub370\uc774\ud130 \uc811\uadfc:<\/strong> \uc5b4\ub5a4 \uacbd\uc6b0\uc5d0\ub294 \ub525 \ub7ec\ub2dd \ubaa8\ub378 \ud6c8\ub828\uc744 \uc704\ud55c \ub370\uc774\ud130\uac00 \ub2e4\uc591\ud55c \uc9c0\ub9ac\uc801 \uc704\uce58\uc5d0 \ubd84\uc0b0\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ud5a5\uc0c1\ub41c \ud6c8\ub828 \uc2dc\uac04\uc744 \uc704\ud574 \ub370\uc774\ud130 \uc561\uc138\uc2a4\ub97c \uce90\uc2f1\ud558\uace0 \uac00\uc18d\ud654\ud568\uc73c\ub85c\uc368 \ud6a8\uc728\uc801\uc778 \ub370\uc774\ud130 \uac80\uc0c9\uc744 \uac00\ub2a5\ud558\uac8c \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub85c\ub4dc \ubc38\ub7f0\uc2f1:<\/strong> \ud2b8\ub798\ud53d\uc774 \ub9ce\uc740 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \ubc30\ud3ec\ud558\uba74 \ub4e4\uc5b4\uc624\ub294 \uc694\uccad\uc744 \uc5ec\ub7ec Keras \uae30\ubc18 \uc11c\ubc84\ub85c \ubd84\uc0b0\ud558\uc5ec \ucef4\ud4e8\ud305 \ub9ac\uc18c\uc2a4\ub97c \ud6a8\uc728\uc801\uc73c\ub85c \ud65c\uc6a9\ud558\uace0 \uc751\ub2f5 \uc2dc\uac04\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubcf4\uc548 \ubc0f \uac1c\uc778\uc815\ubcf4 \ubcf4\ud638:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uc0ac\uc6a9\uc790\uc640 Keras \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uc0ac\uc774\uc758 \uc911\uac1c\uc790 \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc73c\uba70 \uc2e4\uc81c \uc11c\ubc84 IP\ub97c \ub9c8\uc2a4\ud0b9\ud558\uace0 \ubbfc\uac10\ud55c \ub370\uc774\ud130\ub97c \ubcf4\ud638\ud558\uc5ec \ucd94\uac00 \ubcf4\uc548 \uacc4\uce35\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ucf58\ud150\uce20 \ud544\ud130\ub9c1:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ud2b9\uc815 \ucf58\ud150\uce20\uc5d0 \ub300\ud55c \uc561\uc138\uc2a4\ub97c \ud544\ud130\ub9c1\ud558\uace0 \uc81c\ud55c\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub294 Keras \ubaa8\ub378\uc5d0 \ub300\ud55c \uc561\uc138\uc2a4\ub97c \uc81c\uc5b4\ud558\uac70\ub098 \uc0ac\uc6a9\uc790 \uc694\uad6c \uc0ac\ud56d\uc5d0 \ub530\ub77c \ud2b9\uc815 \ucd9c\ub825\uc744 \uc81c\uacf5\ud558\ub294 \ub370 \uc720\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<p>Keras\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc740 \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \ucc38\uc870\ud558\uc138\uc694.<\/p>\n<ul>\n<li><a href=\"https:\/\/keras.io\/\" target=\"_new\" rel=\"noopener nofollow\">\ucf00\ub77c\uc2a4 \ubb38\uc11c<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/keras-team\/keras\" target=\"_new\" rel=\"noopener nofollow\">Keras GitHub \uc800\uc7a5\uc18c<\/a><\/li>\n<li><a href=\"https:\/\/www.tensorflow.org\/\" target=\"_new\" rel=\"noopener nofollow\">TensorFlow \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/\" target=\"_new\" rel=\"noopener nofollow\">PyTorch \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8<\/a><\/li>\n<li><a href=\"http:\/\/caffe.berkeleyvision.org\/\" target=\"_new\" rel=\"noopener nofollow\">\uce74\ud398 \uacf5\uc2dd \ud648\ud398\uc774\uc9c0<\/a><\/li>\n<\/ul>\n<p>\uacb0\ub860\uc801\uc73c\ub85c, Keras\ub294 \uc0ac\uc6a9\uc790 \uce5c\ud654\uc801\uc778 \ud2b9\uc131\uacfc \uac15\ub825\ud55c \uae30\ub2a5\uc73c\ub85c \ud638\ud3c9\uc744 \ubc1b\uc73c\uba70 \uc120\ub3c4\uc801\uc778 \ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\ub85c \ubd80\uc0c1\ud588\uc2b5\ub2c8\ub2e4. TensorFlow\uc640\uc758 \uc6d0\ud65c\ud55c \ud1b5\ud569\uc740 \uc0ac\uc6a9\uc790\uc5d0\uac8c \uc2e0\uacbd\ub9dd \uad6c\ucd95 \ubc0f \ubc30\ud3ec\ub97c \uc704\ud55c \uac15\ub825\ud558\uace0 \uc720\uc5f0\ud55c \ud50c\ub7ab\ud3fc\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ub525\ub7ec\ub2dd \ubd84\uc57c\uac00 \uacc4\uc18d \uc9c4\ud654\ud568\uc5d0 \ub530\ub77c Keras\ub3c4 \ud568\uaed8 \uc9c4\ud654\ud558\uc5ec \uc778\uacf5\uc9c0\ub2a5\uacfc \uba38\uc2e0\ub7ec\ub2dd \ubd84\uc57c\uc758 \ud601\uc2e0\uc744 \uc8fc\ub3c4\ud560 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>","protected":false},"featured_media":468725,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477761","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Keras: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Keras?","answer":"<p>Keras is an open-source deep learning framework written in Python. It is known for its user-friendliness and flexibility, making it a popular choice among researchers, developers, and data scientists for building and experimenting with neural networks.<\/p>"},{"question":"Who developed Keras and when was it released?","answer":"<p>Keras was developed by Fran\u00e7ois Chollet and was first released in March 2015.<\/p>"},{"question":"What are the key features of Keras?","answer":"<p>Keras offers several key features, including a user-friendly API, modularity for building complex neural networks, seamless integration with TensorFlow, and extensibility to customize models.<\/p>"},{"question":"What types of Keras are there?","answer":"<p>There are two main types of Keras: the standalone version, which existed before integration with TensorFlow, and the integrated version, known as <code>tf.keras<\/code>, which is the official version integrated into the TensorFlow library.<\/p>"},{"question":"How does Keras work internally?","answer":"<p>Keras follows a high-level API design, with three main components: the backend for executing computational operations, layers for building neural network components, and models to organize the layers into a cohesive structure.<\/p>"},{"question":"How can proxy servers be associated with Keras?","answer":"<p>Proxy servers can enhance the performance of Keras applications by facilitating efficient data retrieval, load balancing, security, and privacy measures, and content filtering.<\/p>"},{"question":"What are the future perspectives of Keras?","answer":"<p>The future of Keras is expected to see improved performance, potential integration with AutoML techniques, support for new architectures, and continued collaboration with the TensorFlow community.<\/p>"},{"question":"Where can I find more information about Keras?","answer":"<p>For more information about Keras, you can explore the official <a href=\"https:\/\/keras.io\/\" target=\"_new\">Keras documentation<\/a>, visit the <a href=\"https:\/\/github.com\/keras-team\/keras\" target=\"_new\">Keras GitHub repository<\/a>, and also check out the official websites of <a href=\"https:\/\/www.tensorflow.org\/\" target=\"_new\">TensorFlow<\/a>, <a href=\"https:\/\/pytorch.org\/\" target=\"_new\">PyTorch<\/a>, and <a href=\"http:\/\/caffe.berkeleyvision.org\/\" target=\"_new\">Caffe<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/477761","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/477761\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/468725"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=477761"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}