Hi, I have 2 questions for the Deep Learning experts on the forum:
**Which accuracy measure is used to display the accuracy in the Keras network learner monitor? **
… and can it be changed? (ie. from binary accuracy to top k accuracy)
I am currently working on a sparse multiclass multilabel classification problem.
The network layer structure is quite simple (input layer, dense layer -relu, dropout layer, dense layer -sigmoid), and the selected loss function is binary cross-entropy.
While the training monitor shows optimistically good results, scores from the validation set are more sobering (in line with my expectations). I assume the optimistic results in the learning monitor are due to the accuracy measure being set to binary accuracy…
Thanks for any insights on this,