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Hi,
I am trying to reproduce the mnist results on images data of my own. They are simple parabolas (almost like the ones in the tutorial on jupyter notebook) and I am classifying them into 4 classes based on their curvature shape. I got good results using CNN with the same number of conv filters and FC layers as shown in the attached photo. Yet I am not sure on what to set for the polynomial orders in the parameters, as well as the coarsening level and number of edges in the arguments. I tried different values but my loss and accuracy remain the same in every epoch (attached as well). Any advice would be appreciated. thank you in advance !
The text was updated successfully, but these errors were encountered:
Hi,
I am trying to reproduce the mnist results on images data of my own. They are simple parabolas (almost like the ones in the tutorial on jupyter notebook) and I am classifying them into 4 classes based on their curvature shape. I got good results using CNN with the same number of conv filters and FC layers as shown in the attached photo. Yet I am not sure on what to set for the polynomial orders in the parameters, as well as the coarsening level and number of edges in the arguments. I tried different values but my loss and accuracy remain the same in every epoch (attached as well). Any advice would be appreciated. thank you in advance !
The text was updated successfully, but these errors were encountered: