• activation : fnn_layer::layer
• adjoint_input : fnn_layer::layer
• alpha : fnn_layer_normalisation::normalisationlayer
• batch_size : fnn_activation_linear::linearactivation, fnn_layer::layer, fnn_network_sequential::sequentialneuralnetwork
• beta : fnn_layer_normalisation::normalisationlayer
• draws : fnn_layer_dropout::dropoutlayer
• forward_input : fnn_layer::layer
• input_size : fnn_layer::layer
• ip_end : fnn_network_sequential::sequentialneuralnetwork
• ip_start : fnn_network_sequential::sequentialneuralnetwork
• list_layers : fnn_network_sequential::sequentialneuralnetwork
• num_layers : fnn_network_sequential::sequentialneuralnetwork
• num_parameters : fnn_layer::layer, fnn_network_sequential::sequentialneuralnetwork
• output_size : fnn_layer::layer
• parameters : fnn_layer::layer
• rate : fnn_layer_dropout::dropoutlayer
• self_size : fnn_activation_linear::linearactivation
• tangent_linear_input : fnn_layer::layer
• this_layer : fnn_network_sequential::layercontainer
• z_prime : fnn_activation_nonlinear::nonlinearactivation