What is the difference between SVM and neural networks?

Related questions

1. What do you mean by a hard margin?
2. What is SVM loss function?
3. What is SVM classifier in image processing?
4. What is degree in SVM?
5. What is the support vector in SVM?
6. Is SVM a linear classifier?
7. What is cost function SVM?
8. What is Gamma in SVM?
9. What is meant by SVM classifier?
10. What are the advantages of SVM?

Tags

1. #roughly
2. #neural
3. #activation
4. #equivalent
5. #trick
6. #separate
7. #clusters
8. #function
9. #creating
10. #difference
11. #between
12. #forward
13. #hyperplanes
14. #works
15. #linear
16. #kernel
17. #networks