Want to Contribute a Question?
1. What are Image filters? Why we use them?
Computer Vision
Easy
3. What is weight initialization? Explain different approaches of weight initialization?
Deep Learning Basics
Medium
4. What is Dropout? Implement dropout using Python.
Advanced Deep Learning
5. Explain Logistic Regression and it's optimization.
Machine Learning Basics, Deep Learning Basics
7. What is Cross Entropy Loss?
Machine Learning Basics
8. What is F1-Score? Define it in terms of Precision and Recall.
9. What is bias variance trade-off? How does it impact model performance?
10. What is Batch Normalization? How it works as regularization?
11. Why deep learning models needs epochs for training?
12. Explain Gradient Descent optimization approach.