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11. Why deep learning models needs epochs for training?

Deep Learning Basics

Easy

12. Explain Gradient Descent optimization approach.

13. Do activation functions have to be zero centered?

Advanced Deep Learning

Medium

14. What is overfitting? How to detect and avoid overfitting?

Machine Learning Basics

15. What is biased data? How to detect biasness in data?

16. What loss functions can be used for regression? Which one is better for outliers?

17. What is the 0-1 loss function? Why can't the 0-1 loss function or classification error be used as a loss function for optimizing a deep neural network?

Machine Learning Basics, Deep Learning Basics

18. Explain K Nearest Neighbor classification Algorithm in detail? Implement KNN from scratch without using scikit-learn.

19. What is pooling? How does pooling help with Convolutional Neural Networks?

Deep Learning Basics, Computer Vision

20. What is Transfer Learning? In what cases using transfer learning can be helpful?