In high-stakes fields like medical imaging, autonomous driving, and remote sensing, a wrong prediction made with high confidence can be catastrophic. That’s where Uncertainty Estimation steps in—empowering your model to express doubt. And with techniques like Monte Carlo Dropout, you can transform any deterministic deep network into a model that Continue Reading
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