@ptrblck
How to retrain more parameters? this might be a simple thing to do, but please forgive me as I am new in this field.
In fact I have the same problem. I have a very small data set (100 recurrence plots) and I used this nice tutorial (https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html 53) to do transfer learning. Using mobilenet (for example) and with 100 epochs and dropout of 0.t I get 100 as training Acc. and 70% Val. Acc.
Any other suggestions to avoid overfitting?
Thank you