rexbenjamin
New member
- Oct 9, 2008
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Let's say for example, I am utilizing gradient descent to find the minimum of x^10.
The gradient is 10x^9. With an initial guess of 1, I can get to 0.1. The true minimum is 0, but the gradient at 0.1 is 10*(0.1)^9 which the computer thinks is zero.
How can i get over this plateau?
The gradient is 10x^9. With an initial guess of 1, I can get to 0.1. The true minimum is 0, but the gradient at 0.1 is 10*(0.1)^9 which the computer thinks is zero.
How can i get over this plateau?