What is difference between gradient descent and stochastic gradient descent?

Related questions

1. Why do we use gradient descent?
2. What is a loss function in deep learning?
3. What is the meaning of gradient descent?
4. Why do we use stochastic gradient descent?
5. What are optimizers in neural network?
6. What is Adam in neural network?
7. What do we mean by simulated annealing in artificial intelligence?
8. What is the purpose of optimization?
9. What are the three common elements of an optimization problem?
10. What is the difference between Backpropagation and gradient descent?

Tags

1. #randomly
2. #example
3. #picked
4. #typically
5. #dataset
6. #because
7. #unlike
8. #which
9. #batch
10. #whole
11. #maximums
12. #noisier
13. #known
14. #single
15. #tries
16. #training
17. #computes
18. #minimums
19. #gradient
20. #descent
21. #using
22. #error
23. #incremental
24. #iteration