My model with augmented data has over 80% accuracy for both training and validation. But testing it on the images I pulled of the internet for the ungraded assignment (simple model 70% accuracy) I have many more misclassifications.
(I added a cell with code for manually uploading images from week 1)
All the dogs are classified as dogs. But of the six images of cats only two were identified as cats. The model from week 1 identified five of the six as cats.
What could the reason be?