Possible Solution

Changing the value of normalize as True, i.e.

helper.imshow(images[ii], ax=ax, normalize=True)

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Thanks for reporting. We are triaging the issue.

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Hi @AbhinavAK11

We did not face any bugs/errors while running the current code. We tested it both in the classroom workspace as well as the local Jupyter notebook server.

Though we would like to add a few points if you are running the notebook locally:

1. The helper package used in the notebook is a custom script, helper.py, residing in the current working directory. So, make sure you have it too at the same relative path locally.

2. You would have to download the Cat_Dog_data folder that contains the train/test images from the classroom workspace and place it at the same relative path locally.

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