• Gradients: A Visual Journey from Baby to V...
There are two ways to define the gradient: as a vector of partial derivatives, or as the derivative of a scalar function with respect to its input vector. We show how these are the same and use the dot product to explain its most famous property: pointing in the direction of the fastest increase.
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