Hi @8bitmp3,
Thank you for your reply. I will try to do what you are proposing but my main concern is that I would need the final dense layer to have 100 outputs and get the probability for each output. Then I could take the output with the max probability. My concern about this is the precision. I’m not sure it is a good practice to have a ratio of 1:1 for inputs:outputs, I just don’t know and there is not a lot of documentation on this topic. Ideally, my final layer would have one output with the index between 0 and 100. Maybe the two approaches are similar (if the second approach even exists)… What are you thoughts about this?
Thanks for your help again