Another user had contacted kaggle about it. Hopefully we will get an answer on this soon.
Hi Jimmy, thanks for the info. Hopefully Kaggle will resolve the issue soon.
The MNIST notebook uses test_batches as validation data for model fitting. Shouldn't the validation set be partitioned from the training set, thereby reserving the test data only for final model evaluation?
A second question: in the data augmentation section of the MNIST notebook, why are test_batches augmented?