.. index:: pair: namespace; mlp
.. _doxid-namespacexf_1_1hpc_1_1mlp:
.. _cid-xf::hpc::mlp:

namespace mlp
=============

.. toctree::
	:hidden:

	class_xf_hpc_mlp_Fcn.rst



.. _doxid-namespacexf_1_1hpc_1_1mlp_1a3c8e540a82de766ac16cd7ceacddba31:
.. _cid-xf::hpc::mlp::fcnscaleprelu:
.. ref-code-block:: cpp
	:class: overview-code-block

	// classes

	template <
	    typename t_FloatType,
	    typename t_XDataType,
	    unsigned int t_DdrWidth,
	    unsigned int t_XDdrWidth,
	    unsigned int t_aColMemWords = 1,
	    unsigned int t_aRowMemWords = 1,
	    unsigned int t_bColMemWords = 1,
	    unsigned int t_maxWSize = 0,
	    unsigned int t_maxBSize = 0
	    >
	class :ref:`Fcn<doxid-classxf_1_1hpc_1_1mlp_1_1_fcn>` 





.. FunctionSection

.. _doxid-namespacexf_1_1hpc_1_1mlp_1ab088e3a245b99e42418b3b7596862766:
.. _cid-xf::hpc::mlp::relu:

relu
----


.. code-block:: cpp
	
	#include "mlp/activations.hpp"



.. ref-code-block:: cpp
	:class: title-code-block

	template <typename t_DataType>
	t_DataType relu (t_DataType x)

relu (rectified linear unit) is a very common activation function in deep neural network



.. rubric:: Parameters:

.. list-table::
    :widths: 20 80

    *
        - x

        - is the input value

.. _doxid-namespacexf_1_1hpc_1_1mlp_1a8576b01ce3e4f4d52fe749babd49a2e6:
.. _cid-xf::hpc::mlp::sigmoid:

sigmoid
-------


.. code-block:: cpp
	
	#include "mlp/activations.hpp"



.. ref-code-block:: cpp
	:class: title-code-block

	template <typename t_DataType>
	t_DataType sigmoid (t_DataType x)

sigmoid function is a very common activation function in MLP



.. rubric:: Parameters:

.. list-table::
    :widths: 20 80

    *
        - x

        - is the input value

.. _doxid-namespacexf_1_1hpc_1_1mlp_1ad767b7a344f71a1366b3e0383cee7534:
.. _cid-xf::hpc::mlp::tansig:

tansig
------


.. code-block:: cpp
	
	#include "mlp/activations.hpp"



.. ref-code-block:: cpp
	:class: title-code-block

	template <typename t_DataType>
	t_DataType tansig (t_DataType x)

tansig function is used as an activation function in some MLPs



.. rubric:: Parameters:

.. list-table::
    :widths: 20 80

    *
        - x

        - is the input value