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1.   What are Image filters? Why we use them?

Computer Vision

2.   What is an activation function? What are commonly used activation functions?

Deep Learning Basics

3.   What is weight initialization? Explain different approaches of weight initialization?

Deep Learning Basics

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

6.   Why we don't use sigmoid activation function for all layers??

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.

Machine Learning Basics, Deep Learning Basics

9.   What is bias variance trade-off? How does it impact model performance?

Machine Learning Basics

10.   What is Batch Normalization? How it works as regularization?

Advanced Deep Learning