In the first place I was pretty happy about the fact that my net is pretty good with its predictions but in the second place I checked the probabilities of the predictions. I did not analyzed the probabilities in detail but what I have noticed so far is that the predictions only got around 40-45%. I think I explained that bad therefore I will make I little example.
My test set includes 40 images. When it comes to class prediction my net got nearly all of the 40 images right. But when I check the probabilities the decisions are based on its often something like [0.4,0.36,0.34]. I mean the net is nearly every time right with its predictions but the decisions are pretty close. You know what I mean? Or do I maybe just need to train more epochs that the net can consolidate his predictions? So far I train the net only 15 epochs.
No I did not observe the confusion matrix. I just checked what a confusion matrix is and I try to make a confusion matrix by hand tomorrow.