Package

py-autograd

Description

Autograd can automatically differentiate native Python and Numpy code.
It can handle a large subset of Python's features, including loops, ifs,
recursion and closures, and it can even take derivatives of derivatives
of derivatives. It supports reverse-mode differentiation (a.k.a.
backpropagation), which means it can efficiently take gradients of
scalar-valued functions with respect to array-valued arguments, as well
as forward-mode differentiation, and the two can be composed
arbitrarily. The main intended application of Autograd is gradient-based
optimization. For more information, check out the tutorial and the
examples directory.

Note