How does batch normalization work?

Related questions

1. What is S shaped curve?
2. What is Xavier initialization?
3. Which of these is a benefit of batch normalization?
4. How do I find the hidden layer size?
5. What is hidden layer?
6. Is the line that separates y 0 and y 1 in a logistic function?
7. Can loss function negative?
8. Why we use sigmoid function in logistic regression?
9. Why does Xavier initialization work?
10. What does Batch Norm do?

Tags

1. #normalization
2. #normalizing
3. #activations
4. #shift
5. #covariate
6. #transforming
7. #batch
8. #learn
9. #allows
10. #layer
11. #supposedly
12. #would
13. #training
14. #limit
15. #basic
16. #behind
17. #network
18. #variance
19. #accelerate
20. #distribution
21. #inputs
22. #stable