I have been trying my hands on ML for a few weeks now and in need of serious help. I was following the data camp tutorial on using TensorFlow for image classification. The kernel I was referring to working perfectly but the same code happens to give me zero accuracies on the test data, while the rest of the code seems to work reasonably fine on the training data.
Here is the link to my kernel and the data set. The problem seems to be the last block of code where I use the test data to validate my model. If you wish to help me out, please clone the repo and run the kernel and let me know where have I gone wrong because I have followed the instructions to the letter. I may be missing out something crucial.
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