{"id":8168,"date":"2019-09-19T11:32:24","date_gmt":"2019-09-19T02:32:24","guid":{"rendered":"http:\/\/www.gisdeveloper.co.kr\/?p=8168"},"modified":"2020-05-28T10:15:42","modified_gmt":"2020-05-28T01:15:42","slug":"%ec%9d%b4%eb%af%b8%ec%a7%80-dataset%ec%97%90-%eb%8c%80%ed%95%9c-%ed%8f%89%ea%b7%a0%ea%b3%bc-%ed%91%9c%ec%a4%80%ed%8e%b8%ec%b0%a8-%ea%b5%ac%ed%95%98%ea%b8%b0","status":"publish","type":"post","link":"http:\/\/www.gisdeveloper.co.kr\/?p=8168","title":{"rendered":"\uc774\ubbf8\uc9c0 Dataset\uc5d0 \ub300\ud55c \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28 \uad6c\ud558\uae30"},"content":{"rendered":"

\uc0ac\uc9c4 \uc774\ubbf8\uc9c0\ub294 \ucd2c\uc601\ub41c \uc8fc\ubcc0 \ud658\uacbd\uc5d0 \ub530\ub77c \uadf8 \uba85\ub3c4\ub098 \ucc44\ub3c4 \ub4f1\uc774 \uc11c\ub85c \ub2e4\ub985\ub2c8\ub2e4. \uc774 \uc0ac\uc9c4 \uc774\ubbf8\uc9c0\ub97c \ub300\uc0c1\uc73c\ub85c \ud558\ub294 \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc218\ud589\ud558\uae30 \uc804\uc5d0 \uc774\ubbf8\uc9c0\ub4e4\uc744 \ub3d9\uc77c\ud55c \ud658\uacbd\uc73c\ub85c \ub9de\ucdb0\uc8fc\ub294 \ud6c4\ucc98\ub9ac\ub85c \uc804\uccb4 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ud654\uc18c\uac12\uc758 \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28\ub97c \uad6c\ud574 \uc774 \uac12\uc744 \uc774\ubbf8\uc9c0\ub4e4\uc5d0 \uc77c\uad04\uc801\uc73c\ub85c \uc801\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n

\uc544\ub798\uc758 \ucf54\ub4dc\ub294 PyTorch\uc5d0\uc11c Dataset\uc5d0 \ub300\ud55c \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28\ub97c \uad6c\ud558\uae30 \uc704\ud55c \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n

\r\ntransform = transforms.Compose([\r\n    transforms.ToTensor()\r\n])\r\n\r\ndataset = torchvision.datasets.CIFAR10(root='.\/data\/cifar10', train=True, download=True, transform=transform) \r\n\r\nmean = dataset.train_data.mean(axis=(0,1,2))\r\nstd = dataset.train_data.std(axis=(0,1,2))\r\n\r\nmean = mean \/ 255\r\nstd = std \/ 255\r\n<\/pre>\n
\uc2e4\uc81c mean\uacfc std\uc758 \uac12\uc740 \uac01\uac01 [0.4913, 0.4821, 0.4465], [0.2470, 0.2434, 0.2615]\uc640 \uc720\uc0ac\ud55c\ub370, \uc2e4\uc81c CIFAR10 \ub370\uc774\ud130\ub97c \uc774\uc6a9\ud55c \ub525\ub7ec\ub2dd \uc608\uc81c \ucf54\ub4dc\uc5d0\uc11c \uc0c1\uc218\uac12\uc73c\ub85c \uc785\ub825\ub418\ub294 \ubc14\ub85c \uadf8 \uac12\uc785\ub2c8\ub2e4. \uc2e4\uc81c\ub85c \uc774 \ud3c9\uade0\uacfc \ud3b8\ucc28\ub294 \ub2e4\uc74c \ucf54\ub4dc \uc608\uc2dc\ub97c \ud1b5\ud574 \uc801\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n
\r\ntrain_transform = transforms.Compose([\r\n    transforms.ToTensor(),\r\n    transforms.Normalize(mean, std)\r\n])\r\n\r\ntrain_dataset = torchvision.datasets.CIFAR10(root='.\/data\/cifar10', train=True, download=True, transform=train_transform) \r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"
\uc0ac\uc9c4 \uc774\ubbf8\uc9c0\ub294 \ucd2c\uc601\ub41c \uc8fc\ubcc0 \ud658\uacbd\uc5d0 \ub530\ub77c \uadf8 \uba85\ub3c4\ub098 \ucc44\ub3c4 \ub4f1\uc774 \uc11c\ub85c \ub2e4\ub985\ub2c8\ub2e4. \uc774 \uc0ac\uc9c4 \uc774\ubbf8\uc9c0\ub97c \ub300\uc0c1\uc73c\ub85c \ud558\ub294 \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc218\ud589\ud558\uae30 \uc804\uc5d0 \uc774\ubbf8\uc9c0\ub4e4\uc744 \ub3d9\uc77c\ud55c \ud658\uacbd\uc73c\ub85c \ub9de\ucdb0\uc8fc\ub294 \ud6c4\ucc98\ub9ac\ub85c \uc804\uccb4 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ud654\uc18c\uac12\uc758 \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28\ub97c \uad6c\ud574 \uc774 \uac12\uc744 \uc774\ubbf8\uc9c0\ub4e4\uc5d0 \uc77c\uad04\uc801\uc73c\ub85c \uc801\uc6a9\ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 PyTorch\uc5d0\uc11c Dataset\uc5d0 \ub300\ud55c \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28\ub97c \uad6c\ud558\uae30 \uc704\ud55c \ucf54\ub4dc\uc785\ub2c8\ub2e4. transform = transforms.Compose([ transforms.ToTensor() ]) dataset = torchvision.datasets.CIFAR10(root=’.\/data\/cifar10′, … <\/p>\n
\ub354 \ubcf4\uae30 “\uc774\ubbf8\uc9c0 Dataset\uc5d0 \ub300\ud55c \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28 \uad6c\ud558\uae30”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[132],"tags":[],"class_list":["post-8168","post","type-post","status-publish","format-standard","hentry","category-deep-machine-learning"],"_links":{"self":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/8168","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8168"}],"version-history":[{"count":3,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/8168\/revisions"}],"predecessor-version":[{"id":9860,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/8168\/revisions\/9860"}],"wp:attachment":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8168"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}