Transfer learning (on pre-trained inception net model) for multi label classification is giving similar probability for all labels
-
31-10-2019 - |
Question
Number of labels: 1000, Dataset size: 200000 images Final probability for 1000 labels is in the range of 0.3 to 0.34. I was expecting large variation in probabilities. Can someone tell me what I am doing wrong. I am following this tutorial
No correct solution
Licensed under: CC-BY-SA with attribution
Not affiliated with datascience.stackexchange