I have problem in AE weights update, I need expert help
Budget: $10 – $30 USD
I have deep learning model for clustering, it does the clustering on data embedding learned by an Autoencoder. The problem is the AE weights seemed to be not effected by the clustering model being trained.
This means that; I change the loss objective of the clustering model and it is still the "exact" same performance results (accuracy, precision, recall, F1 score) as with the previous loss objective.
This means that; I change the loss objective of the clustering model and it is still the "exact" same performance results (accuracy, precision, recall, F1 score) as with the previous loss objective.