Decaf: a deep convolutional neural networks framework

Decaf is a framework that implements convolutional neural networks, with the goal of being efficient and flexible. It allows one to easily construct a network in the form of an arbitrary Directed Acyclic Graph (DAG), and to perform end-to-end training in a distributed fashion.

To build decaf, do python setup.py build.