Why do we need backpropagation in neural network?

Related questions

1. Is gradient descent guaranteed to converge?
2. Can SVM be used for prediction?
3. What solves the exploding gradient problem?
4. What is RMSprop Optimizer?
5. How does backpropagation algorithm work?
6. What is the purpose of backpropagation?
7. What is momentum in deep learning?
8. Is simulated annealing complete?
9. What is maximum margin hyperplane in SVM?
10. Why backpropagation algorithm is required?

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