.. _file__home_jenkins_docs_models_models_resnet_resnet.hpp: File resnet.hpp =============== |exhale_lsh| :ref:`Parent directory ` (``/home/jenkins/docs/models/models/resnet``) .. |exhale_lsh| unicode:: U+021B0 .. UPWARDS ARROW WITH TIP LEFTWARDS .. contents:: Contents :local: :backlinks: none Definition (``/home/jenkins/docs/models/models/resnet/resnet.hpp``) ------------------------------------------------------------------- .. toctree:: :maxdepth: 1 program_listing_file__home_jenkins_docs_models_models_resnet_resnet.hpp.rst Detailed Description -------------------- Aakash Kaushik Definition of ResNet models. For more information, kindly refer to the following paper. @article{KaimingHe2015, author={KaimingHe,XiangyuZhang,ShaoqingRen,JianSun}, title={DeepResidualLearningforImageRecognition}, year={2015}, url={https://arxiv.org/pdf/1512.03385.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 -------- - ``./../../utils/utils.hpp`` - ``mlpack/core.hpp`` - ``mlpack/methods/ann/ffn.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`` - ``resnet_impl.hpp`` (:ref:`file__home_jenkins_docs_models_models_resnet_resnet_impl.hpp`) Included By ----------- - :ref:`file__home_jenkins_docs_models_models_resnet_resnet_impl.hpp` Namespaces ---------- - :ref:`namespace_mlpack` - :ref:`namespace_mlpack__models` Classes ------- - :ref:`exhale_class_classmlpack_1_1models_1_1ResNet` Typedefs -------- - :ref:`exhale_typedef_resnet_8hpp_1a802739ac7dfc9977d6ff7b26f9fc02e8` - :ref:`exhale_typedef_resnet_8hpp_1a4e8c844383c13b43ebade68711378c63` - :ref:`exhale_typedef_resnet_8hpp_1aeecf57fa83cad98ca84f2d16a9700785` - :ref:`exhale_typedef_resnet_8hpp_1afd8fae50beb616a6e82b528647231aff` - :ref:`exhale_typedef_resnet_8hpp_1abf1bdb45b5c567dd17386f058e20b117`