I’m a little behind in running through all the notebooks and writing code - but I just finished playing around with resnet50 from lesson 1 - and after about 8 epochs I get 0 error rate, my confusion matrix on the test set has 0 misclassifications.
For reference - I took some 400~ images of one class, 170 images of another and randomly pulled out 30% of each for a test set before I did anything. (randomly might be a stretch, I used the shuf command)
the notebok is here
Obviously a model can’t be perfect, so what mistakes am I making - is the test set just so small that I’m getting artifically good numbers?