๐ Hi, Iโm @pmorerio
pmorerio / curriculum-dropout Goto Github PK
View Code? Open in Web Editor NEWCode for the paper "Curriculum Dropout", ICCV 2017
License: GNU General Public License v3.0
Code for the paper "Curriculum Dropout", ICCV 2017
License: GNU General Public License v3.0
๐ Hi, Iโm @pmorerio
I'm trying to run this python file on a Ubuntu 18.04.3 virtual machine with Python 2.7 and Tensorflow 1.14 but even if I follow the instructions where I download the mnist dataset (I didn't move it from where it default downloaded to), requirements.txt, chmod'ing everything, and running run.sh I encounter an error of some kind. Currently, it's saying that the var expDir index is out of range. I must be doing something wrong in my setup but I'm not sure what?
the doubleMnist function generate image merge different pics of 0-9 by random indices sampling,
This may be valid for train valid data for the sample sampling indices generator,
But use independent generator for test data, Not only the pics for add is different with the train / valid
pics but the indices are not shared (in generated mechanism) , so i can't understand why use this test data
as accuracy measurement, when training, the conclusion for test accuracy always approximate 0.0.
From my understanding the following line should use the keep_prob_conv
instead:
Also while the CNN-2 is implemented the documentation of the network initialisation seems to refer to the CNN-1 (LeNet) with 32 filters:
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