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libgnn.h

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/***************************************************************************
 *  @file  libgnn.h
 *  @brief libgnn Header File.
 *  @defgroup libgnn
 *
 *  @date   : 15-07-03 19:56
 *  @author : Pedro Ortega C. <peortega@dcc.uchile.cl>
 *  Copyright  2003  Pedro Ortega C.
 ****************************************************************************/
/*
 *  This program is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 2 of the License, or
 *  (at your option) any later version.
 *
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU Library General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program; if not, write to the Free Software
 *  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
 */

/**
 * @defgroup libgnn libgnn
 *
 * This is the \ref libgnn Modelling Library. It is specially designed for
 * Gradient Machine Learning.
 *
 */

/**
 * @defgroup libgnn_node Nodes
 * @ingroup  libgnn
 *
 * Nodes are the bricks for building Models or Gradient Machines.
 */

/**
 * @defgroup libgnn_criterion Criterions
 * @ingroup  libgnn
 * Criterion are measures to determine the quality of Models and for their
 * training.
 */

/**
 * @defgroup libgnn_dataset Datasets
 * @ingroup  libgnn
 *
 * Datasets are the pattern sets for training Models.
 */

/**
 * @defgroup libgnn_trainer Trainers
 * @ingroup  libgnn
 *
 * Datasets are the pattern sets for training Models.
 */



#ifndef _LIBGNN_H_
#define _LIBGNN_H_

/******************************************/
/* Include Files                          */
/******************************************/

#include "libgnn/gnn_globals.h"
#include "libgnn/gnn_utilities.h"
#include "libgnn/gnn_node.h"
#include "libgnn/gnn_node_vector.h"
#include "libgnn/gnn_evaluation.h"

/* Construction Layers */
#include "libgnn/gnn_serial.h"
#include "libgnn/gnn_parallel.h"

/* Fundamental Layers */
#include "libgnn/gnn_weight.h"
#include "libgnn/gnn_tanh.h"
#include "libgnn/gnn_logistic.h"
#include "libgnn/gnn_softmax.h"
#include "libgnn/gnn_quadric.h"
#include "libgnn/gnn_prototype.h"
#include "libgnn/gnn_gaussian.h"
#include "libgnn/gnn_fir.h"
#include "libgnn/gnn_divergence.h"
#include "libgnn/gnn_convergence.h"
#include "libgnn/gnn_gcomm.h"
#include "libgnn/gnn_affine.h"

/* Datasets */
#include "libgnn/gnn_dataset.h"
#include "libgnn/gnn_dataset_view.h"
#include "libgnn/gnn_random_order.h"
#include "libgnn/gnn_simple_set.h"
#include "libgnn/gnn_input.h"
#include "libgnn/gnn_memory_input.h"
#include "libgnn/gnn_constant_input.h"
#include "libgnn/gnn_gaussian_noise_input.h"
#include "libgnn/gnn_output.h"
#include "libgnn/gnn_memory_output.h"
#include "libgnn/gnn_null_output.h"
#include "libgnn/gnn_filewriter.h"

/* Criterions */
#include "libgnn/gnn_criterion.h"
#include "libgnn/gnn_mse.h"
#include "libgnn/gnn_msre.h"
#include "libgnn/gnn_cross_entropy.h"
#include "libgnn/gnn_weight_decay.h"
#include "libgnn/gnn_weight_elimination.h"

/* Trainers */
#include "libgnn/gnn_trainer.h"
#include "libgnn/gnn_gradient_descent.h"
#include "libgnn/gnn_momentum.h"
#include "libgnn/gnn_conjugate_gradient.h"
#include "libgnn/gnn_rprop.h"
#include "libgnn/gnn_bfgs.h"
#include "libgnn/gnn_lmbfgs.h"



#endif /* _LIBGNN_H_ */

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