{"action":"created","issue":{"url":"https://api.github.com/repos/melmikaty/3D_CNN/issues/1","repository_url":"https://api.github.com/repos/melmikaty/3D_CNN","labels_url":"https://api.github.com/repos/melmikaty/3D_CNN/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/melmikaty/3D_CNN/issues/1/comments","events_url":"https://api.github.com/repos/melmikaty/3D_CNN/issues/1/events","html_url":"https://github.com/melmikaty/3D_CNN/issues/1","id":267356542,"number":1,"title":"The input data shape","user":{"login":"kexianer","id":32976093,"avatar_url":"https://avatars1.githubusercontent.com/u/32976093?v=4","gravatar_id":"","url":"https://api.github.com/users/kexianer","html_url":"https://github.com/kexianer","followers_url":"https://api.github.com/users/kexianer/followers","following_url":"https://api.github.com/users/kexianer/following{/other_user}","gists_url":"https://api.github.com/users/kexianer/gists{/gist_id}","starred_url":"https://api.github.com/users/kexianer/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kexianer/subscriptions","organizations_url":"https://api.github.com/users/kexianer/orgs","repos_url":"https://api.github.com/users/kexianer/repos","events_url":"https://api.github.com/users/kexianer/events{/privacy}","received_events_url":"https://api.github.com/users/kexianer/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2017-10-21T07:01:11Z","updated_at":"2017-10-27T09:10:02Z","closed_at":null,"author_association":"NONE","body":"Hi Mohamed,\r\n       Can you tell me the format of datasets ? and i am doubt the shape of data.\r\nIn the code ,you have reshape image to [**h,w,d**], but the the filter of tf.nn.conv3d() is [**d,h,w**].  \r\nimg3_obj.img3_uint8 = tf.reshape(tf.slice(record_bytes, [label_bytes],[img3_bytes]),[img3_obj.height,img3_obj.width,img3_obj.depth, img3_obj.nChan])\r\n\r\ntf.nn.conv3d(input, filter, strides, padding, name=None), for the Shape filter [filter_depth, filter_height, filter_width, in_channels, out_channels].\r\n\r\nI want to know is there any conflict? because my model has bad result, I cant find the reason."},"comment":{"url":"https://api.github.com/repos/melmikaty/3D_CNN/issues/comments/339917689","html_url":"https://github.com/melmikaty/3D_CNN/issues/1#issuecomment-339917689","issue_url":"https://api.github.com/repos/melmikaty/3D_CNN/issues/1","id":339917689,"user":{"login":"melmikaty","id":20168209,"avatar_url":"https://avatars2.githubusercontent.com/u/20168209?v=4","gravatar_id":"","url":"https://api.github.com/users/melmikaty","html_url":"https://github.com/melmikaty","followers_url":"https://api.github.com/users/melmikaty/followers","following_url":"https://api.github.com/users/melmikaty/following{/other_user}","gists_url":"https://api.github.com/users/melmikaty/gists{/gist_id}","starred_url":"https://api.github.com/users/melmikaty/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/melmikaty/subscriptions","organizations_url":"https://api.github.com/users/melmikaty/orgs","repos_url":"https://api.github.com/users/melmikaty/repos","events_url":"https://api.github.com/users/melmikaty/events{/privacy}","received_events_url":"https://api.github.com/users/melmikaty/received_events","type":"User","site_admin":false},"created_at":"2017-10-27T09:10:02Z","updated_at":"2017-10-27T09:10:02Z","author_association":"OWNER","body":"Hi @kehaozhe ,\r\n\r\nGenerally speaking batches should be balanced, i.e, they should contain equal number of positive ad negative samples (in a binary classification problem or, an equal number of instances of different classes in a multi-class classification problem) unless, for some reason, you would like to give a higher weight to one class than the other. For the batch size, the smaller the batch size, the smaller the memory required, but the less accurate the estimated gradient. I don't reckon that the normalisation layer causes this problem as it just scales and shifts the distributions of the activations.\r\nCheers,\r\nMohamed\r\n"}}
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