.. _file__home_jenkins_docs_models_models_darknet_darknet.hpp:

File darknet.hpp
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Definition (``/home/jenkins/docs/models/models/darknet/darknet.hpp``)
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.. toctree::
   :maxdepth: 1

   program_listing_file__home_jenkins_docs_models_models_darknet_darknet.hpp.rst



Detailed Description
--------------------

Kartik Dutt

Definition of DarkNet models.

For more information, kindly refer to the following paper.

Paper for DarkNet-19.

@article{Redmon2016,
author={JosephRedmon,AliFarhadi},
title={YOLO9000:Better,Faster,Stronger},
year={2016},
url={https://pjreddie.com/media/files/papers/YOLO9000.pdf}
}


Paper for DarkNet-53.

@article{Redmon2016,
author={JosephRedmon,AliFarhadi},
title={YOLOv3:AnIncrementalImprovement},
year={2019},
url={https://pjreddie.com/media/files/papers/YOLOv3.pdf}
}


mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information. 




Includes
--------


- ``darknet_impl.hpp`` (:ref:`file__home_jenkins_docs_models_models_darknet_darknet_impl.hpp`)

- ``mlpack/core.hpp``

- ``mlpack/methods/ann/ffn.hpp``

- ``mlpack/methods/ann/init_rules/glorot_init.hpp``

- ``mlpack/methods/ann/init_rules/he_init.hpp``

- ``mlpack/methods/ann/init_rules/random_init.hpp``

- ``mlpack/methods/ann/layer/layer.hpp``

- ``mlpack/methods/ann/layer/layer_types.hpp``

- ``mlpack/methods/ann/loss_functions/binary_cross_entropy_loss.hpp``



Included By
-----------


- :ref:`file__home_jenkins_docs_models_models_darknet_darknet_impl.hpp`




Namespaces
----------


- :ref:`namespace_mlpack`

- :ref:`namespace_mlpack__models`


Classes
-------


- :ref:`exhale_class_classmlpack_1_1models_1_1DarkNet`


Typedefs
--------


- :ref:`exhale_typedef_darknet_8hpp_1a23ccd2d0fa9e5ffbf9b48e2fa0d09317`

- :ref:`exhale_typedef_darknet_8hpp_1a7ed99869dd4e71fbd81c6af6a2b104ed`