APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
To find the minimum or the maximum of a function, we set the gradient to zero because:
|
|
The value of the gradient at extrema of a function is always zero
|
|
|
Depends on the type of problem
|
|
|
Both A and B
|
|
|
None of the above
|
Explanation:
Detailed explanation-1: -It’s like being at the top of a mountain: any direction you move is downhill. A zero gradient tells you to stay put – you are at the max of the function, and can’t do better.
Detailed explanation-2: -The gradient of a multivariable function at a maximum point will be the zero vector, which corresponds to the graph having a flat tangent plane.
There is 1 question to complete.