Bases: pybrain.structure.modules.module.Module, pybrain.structure.parametercontainer.ParameterContainer
Abstract class for linking different modules with connections.
Prepare the network for activation by sorting the internal datastructure.
Needs to be called before activation.
Bases: pybrain.structure.networks.feedforward.FeedForwardNetworkComponent, pybrain.structure.networks.network.Network
FeedForwardNetworks are networks that do not work for sequential data. Every input is treated as independent of any previous or following inputs.
Bases: pybrain.structure.networks.recurrent.RecurrentNetworkComponent, pybrain.structure.networks.network.Network
Class that implements networks which can work with sequential data.
Until .reset() is called, the network keeps track of all previous inputs and thus allows the use of recurrent connections and layers that look back in time.