NeuralInputLayer.h

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/*
 * Copyright (c) 2014, Shogun Toolbox Foundation
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:

 * 1. Redistributions of source code must retain the above copyright notice,
 * this list of conditions and the following disclaimer.
 *
 * 2. Redistributions in binary form must reproduce the above copyright notice,
 * this list of conditions and the following disclaimer in the documentation
 * and/or other materials provided with the distribution.
 *
 * 3. Neither the name of the copyright holder nor the names of its
 * contributors may be used to endorse or promote products derived from this
 * software without specific prior written permission.

 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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 *
 * Written (W) 2014 Khaled Nasr
 */

#ifndef __NEURALINPUTLAYER_H__
#define __NEURALINPUTLAYER_H__

#include <shogun/lib/common.h>
#include <shogun/neuralnets/NeuralLayer.h>

namespace shogun
{
class CNeuralInputLayer : public CNeuralLayer
{
public:
    CNeuralInputLayer();

    CNeuralInputLayer(int32_t num_neurons, int32_t start_index = 0);

    CNeuralInputLayer(int32_t width, int32_t height, int32_t num_channels,
        int32_t start_index = 0);

    virtual ~CNeuralInputLayer() {}

    virtual bool is_input() { return true; }

    virtual void compute_activations(SGMatrix<float64_t> inputs);

    virtual int32_t get_start_index() { return m_start_index; }

    virtual void set_start_index(int32_t i) { m_start_index = i; }

    virtual const char* get_name() const { return "NeuralInputLayer"; }

private:
    void init();

public:
    float64_t gaussian_noise;

protected:
    int32_t m_start_index;
};
}
#endif