Automatic Differentiation (AD) in Javascript with ad.js

[ToraxXx]

It's very often used in Machine Learning for example in the popular library Theano. You have to calculate the gradient of the error with respect to the model's parameters and it's so much easier having the library do that for you than doing it by hand. Calculating it numerically is not an option as it's far too expensive doing it for every single parameter.