payload: {"action":"opened","issue":{"url":"https://api.github.com/repos/deeplearningfromscratch2/deep-learning-from-scratch-2/issues/4","repository_url":"https://api.github.com/repos/deeplearningfromscratch2/deep-learning-from-scratch-2","labels_url":"https://api.github.com/repos/deeplearningfromscratch2/deep-learning-from-scratch-2/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/deeplearningfromscratch2/deep-learning-from-scratch-2/issues/4/comments","events_url":"https://api.github.com/repos/deeplearningfromscratch2/deep-learning-from-scratch-2/issues/4/events","html_url":"https://github.com/deeplearningfromscratch2/deep-learning-from-scratch-2/issues/4","id":463644040,"node_id":"MDU6SXNzdWU0NjM2NDQwNDA=","number":4,"title":"[Ch2] The machine epsilon of 'float32' vs 'float64' in Python","user":{"login":"heejour","id":14283270,"node_id":"MDQ6VXNlcjE0MjgzMjcw","avatar_url":"https://avatars2.githubusercontent.com/u/14283270?v=4","gravatar_id":"","url":"https://api.github.com/users/heejour","html_url":"https://github.com/heejour","followers_url":"https://api.github.com/users/heejour/followers","following_url":"https://api.github.com/users/heejour/following{/other_user}","gists_url":"https://api.github.com/users/heejour/gists{/gist_id}","starred_url":"https://api.github.com/users/heejour/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/heejour/subscriptions","organizations_url":"https://api.github.com/users/heejour/orgs","repos_url":"https://api.github.com/users/heejour/repos","events_url":"https://api.github.com/users/heejour/events{/privacy}","received_events_url":"https://api.github.com/users/heejour/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2019-07-03T09:27:27Z","updated_at":"2019-07-03T09:27:27Z","closed_at":null,"author_association":"COLLABORATOR","body":"The difference of machine epsilon between 'float64' and 'float32'.\r\n\r\nprint(np.finfo(float).eps)\r\n# 2.22044604925e-16\r\n\r\nprint(np.finfo(np.float32).eps)\r\n# 1.19209e-07\r\n\r\nhttps://stackoverflow.com/questions/19141432/python-numpy-machine-epsilon"}}
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