Hands-On-Meta-Learning-With-Python

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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

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.