48c3a3c8f4
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 uses reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments. The main intended application is gradient-based optimization. |
||
|---|---|---|
| .. | ||
| DESCR | ||
| distinfo | ||
| Makefile | ||
| PLIST | ||