Why am I getting different accuracy in training a deep CNN in each trial?

4 vues (au cours des 30 derniers jours)
Hi there
I am using deep CNN architecture for classsification task. I wonder why I am getting different accuracy every time. Is there any way to find the best accuracy out of this model? As I cant run it over 100 times for such long epochs on cpu :(
or is the the only way to calculate accracy is to find mean of all these trials
plz guide.

Réponse acceptée

Ameer Hamza
Ameer Hamza le 18 Nov 2020
The initialization of the deep learning model is random. It is expected that every time you run the training, the result will be somewhat different. But it should not be significantly different. If they are, then this shows a problem with your model, which is too sensitive to the initialization. If the difference is not that significant, then you can just take the best value.
  8 commentaires
krishna Chauhan
krishna Chauhan le 19 Nov 2020
This datset is quite complex , state of art is between 65-70 %for my 5 layer network its quite good. If random values then it cud take anything why betweeen 50 and 60. Plz guide
Ameer Hamza
Ameer Hamza le 19 Nov 2020
I do agree that it is slightly above 50% in all the cases, so it is not the same a random value. But it still seems low. It depends on your requirement and state of the art. If the accuracy of 53% makes sense in your case, then it should be fine.

Connectez-vous pour commenter.

Plus de réponses (0)


En savoir plus sur Image Data Workflows dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by