This is an empty module which simply re-exports public definitions for recurrent networks in Grenade.

The core types and runners for Recurrent Networks.

The recurrent neural network layer zoo

There are two ways in which deep learning libraries choose to represent recurrent Neural Networks, as an unrolled graph, or at a first class level. Grenade chooses the latter representation, and provides a network type which is specifically suited for recurrent neural networks.

Currently grenade supports two layers, a basic recurrent layer, and an LSTM layer.