Why do we use stochastic gradient descent?

Related questions

1. What is Adam optimization?
2. Why use Softmax vs sigmoid?
3. What is a loss function in deep learning?
4. What is the purpose of optimization?
5. What are optimization models?
6. What are optimizers in deep learning?
7. What is the difference between optimization and Optimisation?
8. Why do we need optimization?
9. What are the three common elements of an optimization problem?
10. What are the different optimization techniques?

Tags

1. #called
2. #explanation
3. #answers
4. #function
5. #minimize
6. #subset
7. #error
8. #minibatch
9. #simple
10. #stochastic
11. #quick
12. #iterative
13. #descent
14. #manner
15. #update
16. #parameters
17. #gradient