So i wanted to if it would be a good idea to first train the model on the dataset initially trained and then using those weights and selected hyperparameters to train on my dataset, or is there any way that i can fine tune the end layers to fit to my model?
So i wanted to if it would be a good idea to first train the model on the dataset initially trained and then using those weights and selected hyperparameters to train on my dataset, or is there any way that i can fine tune the end layers to fit to my model?