FNN 1.0.0
Toolbox to use NNs in Fortran.
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▼Nfnn_activation_linear | Module dedicated to the class linearactivation |
Clinearactivation | Base class for all activation functions. Implements a linear activation function |
▼Nfnn_activation_nonlinear | Module dedicated to the class nonlinearactivation |
Cnonlinearactivation | Base class for nonlinear activation functions. Do not instanciate |
▼Nfnn_activation_relu | Module dedicated to the class reluactivation |
Creluactivation | Implements a relu activation function |
▼Nfnn_activation_tanh | Module dedicated to the class tanhactivation |
Ctanhactivation | Implements a tanh activation function |
Nfnn_common | Module fnn_common . Implements some common features |
▼Nfnn_layer | Module dedicated to the class layer |
Clayer | Base class for all layers. Do not instanciate |
▼Nfnn_layer_dense | Module dedicated to the class denselayer |
Cdenselayer | Implements a dense (fully-connected) layer |
▼Nfnn_layer_dropout | Module dedicated to the class dropoutlayer |
Cdropoutlayer | Implements a dropout layer |
▼Nfnn_layer_normalisation | Module dedicated to the class normalisationlayer |
Cnormalisationlayer | Implements a normalisation layer |
▼Nfnn_network_sequential | Module dedicated to the class sequentialneuralnetwork |
Clayercontainer | Layer container class |
Csequentialneuralnetwork | Implements a sequential neural network |
▼Nkeras_to_fnn | Interface module between keras and FNN |
CUnsupportedLayerException | Exception class for unsupported layers |
CUnsupportedModelException | Exception class for unsupported models |