{"action":"created","issue":{"url":"https://api.github.com/repos/NCC-AI/Deeper-House-Wife/issues/2","repository_url":"https://api.github.com/repos/NCC-AI/Deeper-House-Wife","labels_url":"https://api.github.com/repos/NCC-AI/Deeper-House-Wife/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/NCC-AI/Deeper-House-Wife/issues/2/comments","events_url":"https://api.github.com/repos/NCC-AI/Deeper-House-Wife/issues/2/events","html_url":"https://github.com/NCC-AI/Deeper-House-Wife/issues/2","id":387655384,"node_id":"MDU6SXNzdWUzODc2NTUzODQ=","number":2,"title":"cifar10をcnnで学習する","user":{"login":"aiorhiroki","id":10097562,"node_id":"MDQ6VXNlcjEwMDk3NTYy","avatar_url":"https://avatars3.githubusercontent.com/u/10097562?v=4","gravatar_id":"","url":"https://api.github.com/users/aiorhiroki","html_url":"https://github.com/aiorhiroki","followers_url":"https://api.github.com/users/aiorhiroki/followers","following_url":"https://api.github.com/users/aiorhiroki/following{/other_user}","gists_url":"https://api.github.com/users/aiorhiroki/gists{/gist_id}","starred_url":"https://api.github.com/users/aiorhiroki/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/aiorhiroki/subscriptions","organizations_url":"https://api.github.com/users/aiorhiroki/orgs","repos_url":"https://api.github.com/users/aiorhiroki/repos","events_url":"https://api.github.com/users/aiorhiroki/events{/privacy}","received_events_url":"https://api.github.com/users/aiorhiroki/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"yumion","id":38414956,"node_id":"MDQ6VXNlcjM4NDE0OTU2","avatar_url":"https://avatars2.githubusercontent.com/u/38414956?v=4","gravatar_id":"","url":"https://api.github.com/users/yumion","html_url":"https://github.com/yumion","followers_url":"https://api.github.com/users/yumion/followers","following_url":"https://api.github.com/users/yumion/following{/other_user}","gists_url":"https://api.github.com/users/yumion/gists{/gist_id}","starred_url":"https://api.github.com/users/yumion/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yumion/subscriptions","organizations_url":"https://api.github.com/users/yumion/orgs","repos_url":"https://api.github.com/users/yumion/repos","events_url":"https://api.github.com/users/yumion/events{/privacy}","received_events_url":"https://api.github.com/users/yumion/received_events","type":"User","site_admin":false},"assignees":[{"login":"yumion","id":38414956,"node_id":"MDQ6VXNlcjM4NDE0OTU2","avatar_url":"https://avatars2.githubusercontent.com/u/38414956?v=4","gravatar_id":"","url":"https://api.github.com/users/yumion","html_url":"https://github.com/yumion","followers_url":"https://api.github.com/users/yumion/followers","following_url":"https://api.github.com/users/yumion/following{/other_user}","gists_url":"https://api.github.com/users/yumion/gists{/gist_id}","starred_url":"https://api.github.com/users/yumion/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yumion/subscriptions","organizations_url":"https://api.github.com/users/yumion/orgs","repos_url":"https://api.github.com/users/yumion/repos","events_url":"https://api.github.com/users/yumion/events{/privacy}","received_events_url":"https://api.github.com/users/yumion/received_events","type":"User","site_admin":false},{"login":"RemiTakano","id":44389427,"node_id":"MDQ6VXNlcjQ0Mzg5NDI3","avatar_url":"https://avatars1.githubusercontent.com/u/44389427?v=4","gravatar_id":"","url":"https://api.github.com/users/RemiTakano","html_url":"https://github.com/RemiTakano","followers_url":"https://api.github.com/users/RemiTakano/followers","following_url":"https://api.github.com/users/RemiTakano/following{/other_user}","gists_url":"https://api.github.com/users/RemiTakano/gists{/gist_id}","starred_url":"https://api.github.com/users/RemiTakano/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/RemiTakano/subscriptions","organizations_url":"https://api.github.com/users/RemiTakano/orgs","repos_url":"https://api.github.com/users/RemiTakano/repos","events_url":"https://api.github.com/users/RemiTakano/events{/privacy}","received_events_url":"https://api.github.com/users/RemiTakano/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-12-05T09:02:38Z","updated_at":"2018-12-05T11:08:07Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"## 課題3: mnistと同様にcifar10でも高い精度で学習を行うCNNを作る！\r\n\r\n`from keras.datasets import cifar10`\r\nから初めて、mnistでやったように、全て初めから自分で書いてみてください。\r\n- 精度はmnistほど高くならないので、頑張ってみてください！\r\n- dropout, batchnormalizationを入れて、精度が向上したことを示してください。\r\n\r\n- 注意点は、チャンネルがRGBの3チャンネルです。\r\n\r\n  "},"comment":{"url":"https://api.github.com/repos/NCC-AI/Deeper-House-Wife/issues/comments/444448046","html_url":"https://github.com/NCC-AI/Deeper-House-Wife/issues/2#issuecomment-444448046","issue_url":"https://api.github.com/repos/NCC-AI/Deeper-House-Wife/issues/2","id":444448046,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NDQ0ODA0Ng==","user":{"login":"RemiTakano","id":44389427,"node_id":"MDQ6VXNlcjQ0Mzg5NDI3","avatar_url":"https://avatars1.githubusercontent.com/u/44389427?v=4","gravatar_id":"","url":"https://api.github.com/users/RemiTakano","html_url":"https://github.com/RemiTakano","followers_url":"https://api.github.com/users/RemiTakano/followers","following_url":"https://api.github.com/users/RemiTakano/following{/other_user}","gists_url":"https://api.github.com/users/RemiTakano/gists{/gist_id}","starred_url":"https://api.github.com/users/RemiTakano/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/RemiTakano/subscriptions","organizations_url":"https://api.github.com/users/RemiTakano/orgs","repos_url":"https://api.github.com/users/RemiTakano/repos","events_url":"https://api.github.com/users/RemiTakano/events{/privacy}","received_events_url":"https://api.github.com/users/RemiTakano/received_events","type":"User","site_admin":false},"created_at":"2018-12-05T11:08:07Z","updated_at":"2018-12-05T11:08:07Z","author_association":"NONE","body":"忙しいところありがとう！やってみるね。"}}
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