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libgnn Gradient Retropropagation Machine Library Modules

Here is a list of all modules:

• chunkallocator : A Memory Chunk Allocator.
• libgnn Global Definitions.
• libgnn
  • Evaluations.
  • Utilities Interface.
  • Nodes
    • Hessian Matrix Evaluation Routines.
    • Line Search Procedures for Nodes.
    • gnn_node : Basic Building Block for Gradient Machines.
      • gnn_node Parameters API
      • gnn_node Extension API
      • gnn_node Subnodes API
      • gnn_node_vector : Vector of nodes.
      • gnn_pbundle : A Unified View of Parameter Sets.
      • gnn_phandle : A Handle for Parameters.
    • Atomic Nodes.
      • gnn_affine : Affine Activation Function.
      • gnn_convergence : Input Convergence.
      • gnn_divergence : Input Divergence.
      • gnn_fir : FIR Synaptic Filters
      • gnn_gaussian : Gaussian Kernel Activation Function.
      • gnn_gcomm : Generalized Committee Convergence Node.
      • gnn_logistic : Logistic Sigmoid Activation Function.
      • gnn_prototype : Prototypes.
      • gnn_quadric : Quadric Discriminant Activation Function.
      • gnn_softmax : Softmax Activation Function.
      • gnn_tanh : Hyperbolic Tangent Activation Function.
      • gnn_weight : Affine / Linear Transform
        • gnn_weight Connectionist Tools.
    • Constructor Nodes.
      • gnn_parallel : Parallel Node Constructor.
      • gnn_serial : Serial Constructor for Function Composition.
  • Criterions
    • gnn_criterion : Basic Criterion Function.
      • gnn_cross_entropy : Cross-Entropy Error Criterion.
      • gnn_mse : Mean-Square-Error Criterion.
      • gnn_msre : Mean-Square-Relative-Error Criterion.
      • gnn_weight_decay : Weight Decay Regularization.
      • gnn_weight_elimination : Weight Elimination Regularization.
  • Datasets
    • gnn_input : Reading and handling of sets of vectors.
      • gnn_constant_input : Constant Input Samples.
      • gnn_gaussian_noise_input : Adds Gaussian Noise to Input Samples.
      • gnn_memory_input : Memory Input Samples.
    • gnn_output : Writing sets of vectors.
      • gnn_filewriter : File Output Device.
      • gnn_memory_output : Memory Output Samples.
      • gnn_null_output : Null Output Device.
    • gnn_dataset : Datasets for Training.
      • gnn_dataset_view : A view for datasets.
      • gnn_random_order : A random order sampler.
      • gnn_simple_set : A simple implementation of datasets.
  • Trainers
    • gnn_trainer : Trainers for Models.
      • gnn_bfgs : Broyden-Fletcher-Goldfarb-Shanno Algorithm.
      • gnn_conjugate_gradient : Conjugate Gradient Descent Algorithm.
      • gnn_gradient_descent : Gradient Descent Algorithm.
      • gnn_lmbfgs : Limited Memory BFGS Algorithm.
      • gnn_momentum : Gradient Descent with Momentum Term.
      • gnn_rprop : Resilient Error Backpropagation Trainer.

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