Before starting the fastai course I read something here that one can train one model using two different datasets.
I have images with high quality and some with low quality. When I train a cnn_learner on the quality images alone I get a higher accuracy on the test set. The problem is that the high-quality images are short 2 classes…
How can I train on the high quality and then save the model and train it more on the low qualities?