What is the difference between stochastic gradient descent and gradient descent?

Related questions

1. How is gradient descent used in machine learning?
2. How do you do gradient?
3. What does the P symbol mean?
4. What is the difference between stochastic gradient descent SGD and gradient descent Gd?
5. Why optimization techniques are used?
6. What is the difference between the actual output and generated output known as?
7. What is stochastic gradient descent SGD?
8. Why is ReLU used in CNN?
9. What is Backpropagation in neural network?
10. Why is current denoted?

Tags

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