A naukri.com initiative
Medium
1M
252
Image Credit: Medium
Uncertainty in deep learning models
- Uncertainty in deep learning models can arise from randomness or inherent noise in the dataset.
- The uncertainty cannot be reduced with more data collection.
- There are two types of uncertainty in deep learning models - Aleatoric uncertainty and Epistemic uncertainty.
- Aleatoric uncertainty is due to randomness or noise in the dataset, while Epistemic uncertainty represents the model's lack of knowledge.
Read Full Article
15 Likes
For uninterrupted reading, download the app