HomeFreeBSD

Autograd can automatically differentiate native Python and Numpy code. It can

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.

WWW: https://github.com/HIPS/autograd

Details

Committed
rmFeb 27 2019, 10:11 PM
Parents
rP494090: x11-fonts/material-icons-ttf: Update to 4.0.5
Branches
Unknown
Tags
Unknown