I’m really enjoying the course, but I’ve been struggling with my (validation) accuracies being systematically lower than they were for Jeremy. Between 20% (for preliminary sample testing) and 10% (for my final model) lower.
I started shift-entering through the notebooks (forbidden, I know…) to try to identify what the problem was. I still got much lower accuracies despite using exactly the same code. (Included is the script from the State Farm sample testing that I saved to illustrate this).
This issue has applied to both Cats and Dogs and State Farm.
Regarding State Farm, I have checked that the validation and training sets contain different drivers.
Generally, I’d love to know if anyone has any thoughts / had a similar experience.
Is there some change from Keras 1 to Keras 2 (which I’m using) that would make my results different?
Many thanks for any help!