Hello,
I am working on the classification of two different datasets of apple fruit for checking whether apples are rotten or fresh.
I have designed a CNN model from scratch. I have changed the hyperparameters like MiniBatchSize, Epoch, Learning Rate and Optimizer.
I would like to know how to compare the results. There are two possibilities, either I can draw the graphs for each hyperparameter separately and the other is based on accuracy.
I want to show that my model works perfectly for a particular dataset with particular hyperparameters.
Please guide me.
Thanks