Uploaded February 2021 | Updated September 2026, 2 weeks ago

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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.


Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L05_gradient-descent_slides.pdf

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