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The directory path in cell 13 of prototypical network omniglot demo (link) is wrong, it is missing "images" directory. As a result, the output of training is wrong (as can be seen in the notebook, the model is not learning at all during training since the train_data are all zero arrays due to it failing to load from the wrong directory. I was able to train the model correctly after fixing the wrong directory path in cell 13
The text was updated successfully, but these errors were encountered:
In section "Omniglot Character Set Classification Using Prototypical Network" , the accuracy in the model is always 0.16666 in the process of traning. So, Why does that happen? hope to get your reply,sincerely.
The directory path in cell 13 of prototypical network omniglot demo (link) is wrong, it is missing "images" directory. As a result, the output of training is wrong (as can be seen in the notebook, the model is not learning at all during training since the train_data are all zero arrays due to it failing to load from the wrong directory. I was able to train the model correctly after fixing the wrong directory path in cell 13
The text was updated successfully, but these errors were encountered: