Sebastian Raschka
@sebastianraschka·88.6K subscribers·307 videos
L5.5 (Optional) Calculus Refresher II: Gradients
Posted
February 11, 2021
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3,757
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February 11, 2021
3,757
73
4
2.05%
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17:34Now PlayingSebastian's books
Now that we covered derivatives, let's add another dimension to the function slope and talk about gradients. While derivatives are single numbers that point in the direction of the steepest descent of a function, gradients take this concept into multiple directions. For example, if you have a 2D functions with variables x and y, the the gradient is a vector; it points in the direction of steepest ascent for x and y.
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