Fast Compressed Neural Networks for R

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Documentation for package ‘FCNN4R’ version 0.6.2

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FCNN4R-package Fast Compressed Neural Networks for R
is.mlp_net Is it an object of 'mlp_net' class?
mlp_eval Evaluation
mlp_expand_reorder_inputs Manipulating network inputs
mlp_export_C Export multilayer perceptron network to a C function
mlp_export_fcnn Export and import multilayer perceptron network to/from a text file in FCNN format
mlp_get_layers General information about network
mlp_get_name Get and set network names
mlp_get_no_active_w General information about network
mlp_get_no_w General information about network
mlp_get_w Setting and retrieving status (on/off) and value of individual weight(s)
mlp_get_weights Set and retrieve (active) weights' values
mlp_get_w_abs_idx Retrieving absolute weight index
mlp_get_w_idx Retrieving absolute weight index
mlp_get_w_st Setting and retrieving status (on/off) and value of individual weight(s)
mlp_grad Computing mean squared error, its gradient, and output derivatives
mlp_gradi Computing mean squared error, its gradient, and output derivatives
mlp_gradij Computing mean squared error, its gradient, and output derivatives
mlp_import_fcnn Export and import multilayer perceptron network to/from a text file in FCNN format
mlp_jacob Computing mean squared error, its gradient, and output derivatives
mlp_merge Combining two networks into one
mlp_mse Computing mean squared error, its gradient, and output derivatives
mlp_net Create objects of 'mlp_net' class
mlp_net-absolute-weight-indices Retrieving absolute weight index
mlp_net-accessing-individual-weights Setting and retrieving status (on/off) and value of individual weight(s)
mlp_net-class An S4 class representing Multilayer Perception Network.
mlp_net-combining-two-networks Combining two networks into one
mlp_net-display Displaying networks (objects of 'mlp_net' class)
mlp_net-export-import Export and import multilayer perceptron network to/from a text file in FCNN format
mlp_net-general-information General information about network
mlp_net-manipulating-network-inputs Manipulating network inputs
mlp_net-method An S4 class representing Multilayer Perception Network.
mlp_net-MSE-gradients Computing mean squared error, its gradient, and output derivatives
mlp_net-names Get and set network names
mlp_net-weights-access Set and retrieve (active) weights' values
mlp_plot Plotting multilayer perceptron network
mlp_prune_mag Minimum magnitude pruning
mlp_prune_obs Optimal Brain Surgeon pruning
mlp_rm_input_neurons Manipulating network inputs
mlp_rm_neurons Remove redundant neurons in a multilayer perceptron network
mlp_rnd_weights This function sets network weights to random values drawn from uniform distribution.
mlp_set_activation Set network activation functions
mlp_set_name Get and set network names
mlp_set_w Setting and retrieving status (on/off) and value of individual weight(s)
mlp_set_weights Set and retrieve (active) weights' values
mlp_set_w_st Setting and retrieving status (on/off) and value of individual weight(s)
mlp_stack Combining two networks into one
mlp_teach_bp Backpropagation (batch) teaching
mlp_teach_grprop Rprop teaching - minimising arbitrary objective function
mlp_teach_rprop Rprop teaching
mlp_teach_sa Teaching networks using Simulated Annealing
mlp_teach_sgd Stochastic gradient descent with (optional) RMS weights scaling, weight decay, and momentum
print-method Displaying networks (objects of 'mlp_net' class)
read-write-fcnndataset Reading and writing datasets in the FCNN format
read.fcnndataset Reading and writing datasets in the FCNN format
show-method Displaying networks (objects of 'mlp_net' class)
summary-method Displaying networks (objects of 'mlp_net' class)
write.fcnndataset Reading and writing datasets in the FCNN format