Open rafariva opened 6 years ago
https://github.com/originrose/cortex/issues/184
I fixed the dependencies and the change of code. But I am getting very bad accuracy at this stage:
Classification accuracy: 0.1829470198675497 Classification accuracy: 0.1771523178807947 Classification accuracy: 0.1697019867549669
Maybe is because the preparation.clj, reported in the other issue (training folder and test folder has same images)
reversely, it would get a higher classification accuracy at the training stage. (since the training images and the validation images would be the same).
You are right. Never the less, both folder shouldnt have the same, right?
It's definitely better for training if they are not the same, but it's not an absolute requirement.
What happens is:
So if the test image is an image the network has already seen, it's a bit like cheating, resulting in a better, but faked, accuracy, as opposed to an image the network has never seen.
Ohh ok. Gateyou. So, if it is "cheating" why so low accuaracy? Any idea?
when run this, get severals errors, could you help me, why? i am trying on windows, and on ubuntu... diferent errores on each one (how to fix on any or both?), i have no clue. i am new in clojure. thanks
on windows:
![image](https://user-images.githubusercontent.com/26292862/43236767-70125804-904c-11e8-9a7a-c7d6205a79e2.png)
on ubuntu: