Deep Learning - Deep Neural Network for Beginners Using Python - Random Restart Solution

The video tutorial explains the concept of random restarts in training models to overcome local minima issues. It discusses the difference between local and global minima and the challenges faced when using random restarts to find the global minimum. The tutorial suggests using a sufficient number of random restarts to approximate the global minimum, emphasizing the importance of error reduction in training.

What challenges arise when there are many local minima in a function?

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Discuss the flaws associated with reaching a global minimum by chance.

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