logsoftmax.h

强化学习算法（R-Learning）难得的珍贵资料

// Copyright (C) 2003 Ronan Collobert ([e-mail])
//                
// This file is part of Torch 3.
//
// All rights reserved.
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// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
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// 2. Redistributions in binary form must reproduce the above copyright
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#ifndef LOG_SOFT_MAX_INC
#define LOG_SOFT_MAX_INC

#include "GradientMachine.h"

namespace Torch {

/** Log-SoftMax layer for #GradientMachine#.

    The number of inputs/outputs is the number
    of units in the machine.

    Formally speaking, $ouputs[i] = log(1/a * exp(inputs[i]))$
    where $a = \sum_j exp(inputs[j])$.

    @author Ronan Collobert ([e-mail])
*/
class LogSoftMax : public GradientMachine
{
  public:

    //-----

    /// Create a layer with #n_units# units.
    LogSoftMax(int n_units);

    //-----

    virtual void frameForward(int t, real *f_inputs, real *f_outputs);
    virtual void frameBackward(int t, real *f_inputs, real *beta_, real *f_outputs, real *alpha_);

    virtual ~LogSoftMax();
};


}

#endif