Why does gradient descent, regardless of the slope's sign, eventually converge to its minimum value?

Why does gradient descent, regardless of the slope's sign, eventually converge to its minimum value? 



Answer:

Why does gradient descent, regardless of the slope's sign, eventually converge to its minimum value?

The following graph shows that:

• when the slope is negative, the value of theta 1 increases.
• when the slope is positive, the value of theta 1 decreases.


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