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On a graph, subtracting the values of connected points is the appropriate analog of taking a derivative, which is, after all, the difference of two values infinitely close together. And given that, ...
Gradient descent algorithms take the loss function and use partial derivatives to determine what each variable (weights and biases) in the network contributed to the loss value.
What is the derivative and why do you need it in physics? Here is a very quick introduction to derivatives to get you through your first physics course.
Wolfram|Alpha: The makers of Mathematica (a very powerful mathematical software package, popular amongst applied mathematicians and engineers) bring us a "google-like" mathematical search engine. In ...
We generalize the notions of the fractional g-integral and g-derivative by introducing variable lower limit of integration. We discuss some properties and their relations. Finally, we give a ...
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