2038 lines
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2038 lines
124 KiB
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<div class="title">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType > Class Template Reference</div> </div>
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<p>Implementation of the <a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> class.
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<a href="classmlpack_1_1ann_1_1Convolution.html#details">More...</a></p>
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<table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
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Public Member Functions</h2></td></tr>
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<tr class="memitem:a97f55f6503c149d51052466806f13c9c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a97f55f6503c149d51052466806f13c9c">Convolution</a> ()</td></tr>
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<tr class="memdesc:a97f55f6503c149d51052466806f13c9c"><td class="mdescLeft"> </td><td class="mdescRight">Create the <a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> object. <a href="#a97f55f6503c149d51052466806f13c9c">More...</a><br /></td></tr>
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<tr class="separator:a97f55f6503c149d51052466806f13c9c"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:acdd5b26916a416a34d7e9f93048fd5ed"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#acdd5b26916a416a34d7e9f93048fd5ed">Convolution</a> (const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ac86096b84b4e1b81d1e51784840260cd">inSize</a>, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a4ab4efa70730deea85b1dea40a9f475f">outSize</a>, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#af4489dafb6cb83ea25fa5b6baf3b679e">kW</a>, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a4caa1d8911fd09f63ca4601019e15e13">kH</a>, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a9ad943345b3812c59f163f6e83b30d2e">dW</a>=1, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a1c276453c007cf96fc9e39fb5313be57">dH</a>=1, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a0d6dd4c3dc5ed18026d8ac23b69d71ed">padW</a>=0, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a82c26749edd6a44f4337d20a40ad391d">padH</a>=0, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a579220e11384a1ff5baa765056dacb64">inputWidth</a>=0, const size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aa4b83d01e8d1c746cbe28c6a50c2598a">inputHeight</a>=0)</td></tr>
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<tr class="memdesc:acdd5b26916a416a34d7e9f93048fd5ed"><td class="mdescLeft"> </td><td class="mdescRight">Create the <a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> object using the specified number of input maps, output maps, filter size, stride and padding parameter. <a href="#acdd5b26916a416a34d7e9f93048fd5ed">More...</a><br /></td></tr>
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<tr class="separator:acdd5b26916a416a34d7e9f93048fd5ed"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:abede1642dc47f49eac0dba0259594a69"><td class="memTemplParams" colspan="2">template<typename eT > </td></tr>
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<tr class="memitem:abede1642dc47f49eac0dba0259594a69"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#abede1642dc47f49eac0dba0259594a69">Backward</a> (const arma::Mat< eT > &&, arma::Mat< eT > &&gy, arma::Mat< eT > &&g)</td></tr>
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<tr class="memdesc:abede1642dc47f49eac0dba0259594a69"><td class="mdescLeft"> </td><td class="mdescRight">Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards through f. <a href="#abede1642dc47f49eac0dba0259594a69">More...</a><br /></td></tr>
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<tr class="separator:abede1642dc47f49eac0dba0259594a69"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ab2730019f32480fc3d984bb09666a03a"><td class="memItemLeft" align="right" valign="top">OutputDataType const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ab2730019f32480fc3d984bb09666a03a">Delta</a> () const </td></tr>
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<tr class="memdesc:ab2730019f32480fc3d984bb09666a03a"><td class="mdescLeft"> </td><td class="mdescRight">Get the delta. <a href="#ab2730019f32480fc3d984bb09666a03a">More...</a><br /></td></tr>
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<tr class="separator:ab2730019f32480fc3d984bb09666a03a"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:add7e33b52bda6e0602cb98cb91cb09a9"><td class="memItemLeft" align="right" valign="top">OutputDataType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#add7e33b52bda6e0602cb98cb91cb09a9">Delta</a> ()</td></tr>
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<tr class="memdesc:add7e33b52bda6e0602cb98cb91cb09a9"><td class="mdescLeft"> </td><td class="mdescRight">Modify the delta. <a href="#add7e33b52bda6e0602cb98cb91cb09a9">More...</a><br /></td></tr>
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<tr class="separator:add7e33b52bda6e0602cb98cb91cb09a9"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a6290e21f1659a6c17b6dc96dd10b6e92"><td class="memTemplParams" colspan="2">template<typename eT > </td></tr>
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<tr class="memitem:a6290e21f1659a6c17b6dc96dd10b6e92"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a6290e21f1659a6c17b6dc96dd10b6e92">Forward</a> (const arma::Mat< eT > &&input, arma::Mat< eT > &&output)</td></tr>
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<tr class="memdesc:a6290e21f1659a6c17b6dc96dd10b6e92"><td class="mdescLeft"> </td><td class="mdescRight">Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. <a href="#a6290e21f1659a6c17b6dc96dd10b6e92">More...</a><br /></td></tr>
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<tr class="separator:a6290e21f1659a6c17b6dc96dd10b6e92"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ad45c42673ebd2c1a8f471b267502a2d3"><td class="memTemplParams" colspan="2">template<typename eT > </td></tr>
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<tr class="memitem:ad45c42673ebd2c1a8f471b267502a2d3"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ad45c42673ebd2c1a8f471b267502a2d3">Gradient</a> (const arma::Mat< eT > &&, arma::Mat< eT > &&error, arma::Mat< eT > &&<a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aac575be6fc69cfee9ad0f1ad45299f80">gradient</a>)</td></tr>
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<tr class="separator:ad45c42673ebd2c1a8f471b267502a2d3"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:aa8b1e4d597519d1116d650ca0ecd51e3"><td class="memItemLeft" align="right" valign="top">OutputDataType const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aa8b1e4d597519d1116d650ca0ecd51e3">Gradient</a> () const </td></tr>
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<tr class="memdesc:aa8b1e4d597519d1116d650ca0ecd51e3"><td class="mdescLeft"> </td><td class="mdescRight">Get the gradient. <a href="#aa8b1e4d597519d1116d650ca0ecd51e3">More...</a><br /></td></tr>
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<tr class="separator:aa8b1e4d597519d1116d650ca0ecd51e3"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ab2cf75e77fd91c629092486dfb6998ae"><td class="memItemLeft" align="right" valign="top">OutputDataType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ab2cf75e77fd91c629092486dfb6998ae">Gradient</a> ()</td></tr>
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<tr class="memdesc:ab2cf75e77fd91c629092486dfb6998ae"><td class="mdescLeft"> </td><td class="mdescRight">Modify the gradient. <a href="#ab2cf75e77fd91c629092486dfb6998ae">More...</a><br /></td></tr>
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<tr class="separator:ab2cf75e77fd91c629092486dfb6998ae"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:aa73f23583b9c8d18c69bbd803a61832f"><td class="memItemLeft" align="right" valign="top">size_t const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aa73f23583b9c8d18c69bbd803a61832f">InputHeight</a> () const </td></tr>
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<tr class="memdesc:aa73f23583b9c8d18c69bbd803a61832f"><td class="mdescLeft"> </td><td class="mdescRight">Get the input height. <a href="#aa73f23583b9c8d18c69bbd803a61832f">More...</a><br /></td></tr>
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<tr class="separator:aa73f23583b9c8d18c69bbd803a61832f"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a56b61105460d55ba1dc1f6f7e5df04ea"><td class="memItemLeft" align="right" valign="top">size_t & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a56b61105460d55ba1dc1f6f7e5df04ea">InputHeight</a> ()</td></tr>
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<tr class="memdesc:a56b61105460d55ba1dc1f6f7e5df04ea"><td class="mdescLeft"> </td><td class="mdescRight">Modify the input height. <a href="#a56b61105460d55ba1dc1f6f7e5df04ea">More...</a><br /></td></tr>
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<tr class="separator:a56b61105460d55ba1dc1f6f7e5df04ea"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a2161039665a939782c59a32cab3bbb7c"><td class="memItemLeft" align="right" valign="top">InputDataType const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a2161039665a939782c59a32cab3bbb7c">InputParameter</a> () const </td></tr>
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<tr class="memdesc:a2161039665a939782c59a32cab3bbb7c"><td class="mdescLeft"> </td><td class="mdescRight">Get the input parameter. <a href="#a2161039665a939782c59a32cab3bbb7c">More...</a><br /></td></tr>
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<tr class="separator:a2161039665a939782c59a32cab3bbb7c"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a7904bf1fd0cd9f5fdba578eb500fb3e5"><td class="memItemLeft" align="right" valign="top">InputDataType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a7904bf1fd0cd9f5fdba578eb500fb3e5">InputParameter</a> ()</td></tr>
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<tr class="memdesc:a7904bf1fd0cd9f5fdba578eb500fb3e5"><td class="mdescLeft"> </td><td class="mdescRight">Modify the input parameter. <a href="#a7904bf1fd0cd9f5fdba578eb500fb3e5">More...</a><br /></td></tr>
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<tr class="separator:a7904bf1fd0cd9f5fdba578eb500fb3e5"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a3fea71b2a4a57d1e235681344987eeb5"><td class="memItemLeft" align="right" valign="top">size_t const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a3fea71b2a4a57d1e235681344987eeb5">InputWidth</a> () const </td></tr>
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<tr class="memdesc:a3fea71b2a4a57d1e235681344987eeb5"><td class="mdescLeft"> </td><td class="mdescRight">Get the input width. <a href="#a3fea71b2a4a57d1e235681344987eeb5">More...</a><br /></td></tr>
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<tr class="separator:a3fea71b2a4a57d1e235681344987eeb5"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a6b7d5eda34cdd884d5c601a15bc4e575"><td class="memItemLeft" align="right" valign="top">size_t & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a6b7d5eda34cdd884d5c601a15bc4e575">InputWidth</a> ()</td></tr>
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<tr class="memdesc:a6b7d5eda34cdd884d5c601a15bc4e575"><td class="mdescLeft"> </td><td class="mdescRight">Modify input the width. <a href="#a6b7d5eda34cdd884d5c601a15bc4e575">More...</a><br /></td></tr>
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<tr class="separator:a6b7d5eda34cdd884d5c601a15bc4e575"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a252c37070ec53c4443bfdc6545b5602a"><td class="memItemLeft" align="right" valign="top">size_t const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a252c37070ec53c4443bfdc6545b5602a">OutputHeight</a> () const </td></tr>
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<tr class="memdesc:a252c37070ec53c4443bfdc6545b5602a"><td class="mdescLeft"> </td><td class="mdescRight">Get the output height. <a href="#a252c37070ec53c4443bfdc6545b5602a">More...</a><br /></td></tr>
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<tr class="separator:a252c37070ec53c4443bfdc6545b5602a"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a10046b541fc85e03e20268999a997659"><td class="memItemLeft" align="right" valign="top">size_t & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a10046b541fc85e03e20268999a997659">OutputHeight</a> ()</td></tr>
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<tr class="memdesc:a10046b541fc85e03e20268999a997659"><td class="mdescLeft"> </td><td class="mdescRight">Modify the output height. <a href="#a10046b541fc85e03e20268999a997659">More...</a><br /></td></tr>
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<tr class="separator:a10046b541fc85e03e20268999a997659"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ad91d75b1fb8cb74da6d16f9db71f9c1a"><td class="memItemLeft" align="right" valign="top">OutputDataType const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ad91d75b1fb8cb74da6d16f9db71f9c1a">OutputParameter</a> () const </td></tr>
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<tr class="memdesc:ad91d75b1fb8cb74da6d16f9db71f9c1a"><td class="mdescLeft"> </td><td class="mdescRight">Get the output parameter. <a href="#ad91d75b1fb8cb74da6d16f9db71f9c1a">More...</a><br /></td></tr>
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<tr class="separator:ad91d75b1fb8cb74da6d16f9db71f9c1a"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a792cbbdcde774b1edff983c6eaf9fcb5"><td class="memItemLeft" align="right" valign="top">OutputDataType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a792cbbdcde774b1edff983c6eaf9fcb5">OutputParameter</a> ()</td></tr>
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<tr class="memdesc:a792cbbdcde774b1edff983c6eaf9fcb5"><td class="mdescLeft"> </td><td class="mdescRight">Modify the output parameter. <a href="#a792cbbdcde774b1edff983c6eaf9fcb5">More...</a><br /></td></tr>
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<tr class="separator:a792cbbdcde774b1edff983c6eaf9fcb5"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a6ca0e14b866f33871403ab6e2938f40a"><td class="memItemLeft" align="right" valign="top">size_t const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a6ca0e14b866f33871403ab6e2938f40a">OutputWidth</a> () const </td></tr>
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<tr class="memdesc:a6ca0e14b866f33871403ab6e2938f40a"><td class="mdescLeft"> </td><td class="mdescRight">Get the output width. <a href="#a6ca0e14b866f33871403ab6e2938f40a">More...</a><br /></td></tr>
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<tr class="separator:a6ca0e14b866f33871403ab6e2938f40a"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a0379359de16f0934507feb5f2e049842"><td class="memItemLeft" align="right" valign="top">size_t & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a0379359de16f0934507feb5f2e049842">OutputWidth</a> ()</td></tr>
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<tr class="memdesc:a0379359de16f0934507feb5f2e049842"><td class="mdescLeft"> </td><td class="mdescRight">Modify the output width. <a href="#a0379359de16f0934507feb5f2e049842">More...</a><br /></td></tr>
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<tr class="separator:a0379359de16f0934507feb5f2e049842"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac117ff98346fba857f0c3392f877f577"><td class="memItemLeft" align="right" valign="top">OutputDataType const & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ac117ff98346fba857f0c3392f877f577">Parameters</a> () const </td></tr>
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<tr class="memdesc:ac117ff98346fba857f0c3392f877f577"><td class="mdescLeft"> </td><td class="mdescRight">Get the parameters. <a href="#ac117ff98346fba857f0c3392f877f577">More...</a><br /></td></tr>
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<tr class="separator:ac117ff98346fba857f0c3392f877f577"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a1ed8cdacde8b8e430bdc55df6aa9dabd"><td class="memItemLeft" align="right" valign="top">OutputDataType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a1ed8cdacde8b8e430bdc55df6aa9dabd">Parameters</a> ()</td></tr>
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<tr class="memdesc:a1ed8cdacde8b8e430bdc55df6aa9dabd"><td class="mdescLeft"> </td><td class="mdescRight">Modify the parameters. <a href="#a1ed8cdacde8b8e430bdc55df6aa9dabd">More...</a><br /></td></tr>
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<tr class="separator:a1ed8cdacde8b8e430bdc55df6aa9dabd"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a7c87bcfaa28fb51caffee542776bbe01"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a7c87bcfaa28fb51caffee542776bbe01">Reset</a> ()</td></tr>
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<tr class="separator:a7c87bcfaa28fb51caffee542776bbe01"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:afc7ca2d8c0a7ba3ee2a9f3c1ba68401f"><td class="memTemplParams" colspan="2">template<typename Archive > </td></tr>
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<tr class="memitem:afc7ca2d8c0a7ba3ee2a9f3c1ba68401f"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#afc7ca2d8c0a7ba3ee2a9f3c1ba68401f">Serialize</a> (Archive &ar, const unsigned int)</td></tr>
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<tr class="memdesc:afc7ca2d8c0a7ba3ee2a9f3c1ba68401f"><td class="mdescLeft"> </td><td class="mdescRight">Serialize the layer. <a href="#afc7ca2d8c0a7ba3ee2a9f3c1ba68401f">More...</a><br /></td></tr>
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<tr class="separator:afc7ca2d8c0a7ba3ee2a9f3c1ba68401f"><td class="memSeparator" colspan="2"> </td></tr>
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</table><table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pri-methods"></a>
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Private Member Functions</h2></td></tr>
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<tr class="memitem:ac43383dfb7f7843bc3226f838c45d0a1"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ac43383dfb7f7843bc3226f838c45d0a1">ConvOutSize</a> (const size_t size, const size_t k, const size_t s, const size_t p)</td></tr>
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<tr class="separator:ac43383dfb7f7843bc3226f838c45d0a1"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a3d164992ed786c51a2ffad07651703d1"><td class="memTemplParams" colspan="2">template<typename eT > </td></tr>
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<tr class="memitem:a3d164992ed786c51a2ffad07651703d1"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a3d164992ed786c51a2ffad07651703d1">Pad</a> (const arma::Mat< eT > &input, size_t wPad, size_t hPad, arma::Mat< eT > &output)</td></tr>
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<tr class="separator:a3d164992ed786c51a2ffad07651703d1"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:af0a782583488ffaeee7f94fc296b267c"><td class="memTemplParams" colspan="2">template<typename eT > </td></tr>
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<tr class="memitem:af0a782583488ffaeee7f94fc296b267c"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#af0a782583488ffaeee7f94fc296b267c">Pad</a> (const arma::Cube< eT > &input, size_t wPad, size_t hPad, arma::Cube< eT > &output)</td></tr>
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<tr class="separator:af0a782583488ffaeee7f94fc296b267c"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a20330974d27c36fda8b99246016339dc"><td class="memTemplParams" colspan="2">template<typename eT > </td></tr>
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<tr class="memitem:a20330974d27c36fda8b99246016339dc"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a20330974d27c36fda8b99246016339dc">Rotate180</a> (const arma::Cube< eT > &input, arma::Cube< eT > &output)</td></tr>
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<tr class="separator:a20330974d27c36fda8b99246016339dc"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a59d310606ff68f8a21795f75136232d4"><td class="memTemplParams" colspan="2">template<typename eT > </td></tr>
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<tr class="memitem:a59d310606ff68f8a21795f75136232d4"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a59d310606ff68f8a21795f75136232d4">Rotate180</a> (const arma::Mat< eT > &input, arma::Mat< eT > &output)</td></tr>
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<tr class="separator:a59d310606ff68f8a21795f75136232d4"><td class="memSeparator" colspan="2"> </td></tr>
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</table><table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pri-attribs"></a>
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Private Attributes</h2></td></tr>
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<tr class="memitem:a7795e6ce33416963ea1cdc4f310490c9"><td class="memItemLeft" align="right" valign="top">arma::mat </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a7795e6ce33416963ea1cdc4f310490c9">bias</a></td></tr>
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<tr class="memdesc:a7795e6ce33416963ea1cdc4f310490c9"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored bias term object. <a href="#a7795e6ce33416963ea1cdc4f310490c9">More...</a><br /></td></tr>
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<tr class="separator:a7795e6ce33416963ea1cdc4f310490c9"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:aa7f6078d912b4d61940effec9d0cf69f"><td class="memItemLeft" align="right" valign="top">OutputDataType </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aa7f6078d912b4d61940effec9d0cf69f">delta</a></td></tr>
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<tr class="memdesc:aa7f6078d912b4d61940effec9d0cf69f"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored delta object. <a href="#aa7f6078d912b4d61940effec9d0cf69f">More...</a><br /></td></tr>
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<tr class="separator:aa7f6078d912b4d61940effec9d0cf69f"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a1c276453c007cf96fc9e39fb5313be57"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a1c276453c007cf96fc9e39fb5313be57">dH</a></td></tr>
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<tr class="memdesc:a1c276453c007cf96fc9e39fb5313be57"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored stride of the filter in y-direction. <a href="#a1c276453c007cf96fc9e39fb5313be57">More...</a><br /></td></tr>
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<tr class="separator:a1c276453c007cf96fc9e39fb5313be57"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a9ad943345b3812c59f163f6e83b30d2e"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a9ad943345b3812c59f163f6e83b30d2e">dW</a></td></tr>
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<tr class="memdesc:a9ad943345b3812c59f163f6e83b30d2e"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored stride of the filter in x-direction. <a href="#a9ad943345b3812c59f163f6e83b30d2e">More...</a><br /></td></tr>
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<tr class="separator:a9ad943345b3812c59f163f6e83b30d2e"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:aac575be6fc69cfee9ad0f1ad45299f80"><td class="memItemLeft" align="right" valign="top">OutputDataType </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aac575be6fc69cfee9ad0f1ad45299f80">gradient</a></td></tr>
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<tr class="memdesc:aac575be6fc69cfee9ad0f1ad45299f80"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored gradient object. <a href="#aac575be6fc69cfee9ad0f1ad45299f80">More...</a><br /></td></tr>
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<tr class="separator:aac575be6fc69cfee9ad0f1ad45299f80"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a232c1a3aafc86a92a56d9b97c2c16a11"><td class="memItemLeft" align="right" valign="top">arma::cube </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a232c1a3aafc86a92a56d9b97c2c16a11">gradientTemp</a></td></tr>
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<tr class="memdesc:a232c1a3aafc86a92a56d9b97c2c16a11"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored transformed gradient parameter. <a href="#a232c1a3aafc86a92a56d9b97c2c16a11">More...</a><br /></td></tr>
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<tr class="separator:a232c1a3aafc86a92a56d9b97c2c16a11"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a5911ed415613205bbc64b3d0de4c9e5c"><td class="memItemLeft" align="right" valign="top">arma::cube </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a5911ed415613205bbc64b3d0de4c9e5c">gTemp</a></td></tr>
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<tr class="memdesc:a5911ed415613205bbc64b3d0de4c9e5c"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored transformed error parameter. <a href="#a5911ed415613205bbc64b3d0de4c9e5c">More...</a><br /></td></tr>
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<tr class="separator:a5911ed415613205bbc64b3d0de4c9e5c"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:aa4b83d01e8d1c746cbe28c6a50c2598a"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aa4b83d01e8d1c746cbe28c6a50c2598a">inputHeight</a></td></tr>
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<tr class="memdesc:aa4b83d01e8d1c746cbe28c6a50c2598a"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored input height. <a href="#aa4b83d01e8d1c746cbe28c6a50c2598a">More...</a><br /></td></tr>
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<tr class="separator:aa4b83d01e8d1c746cbe28c6a50c2598a"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a2e433a18bf7cc4a3e38a7b2c7c5ea5d9"><td class="memItemLeft" align="right" valign="top">arma::cube </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a2e433a18bf7cc4a3e38a7b2c7c5ea5d9">inputPaddedTemp</a></td></tr>
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<tr class="memdesc:a2e433a18bf7cc4a3e38a7b2c7c5ea5d9"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored transformed padded input parameter. <a href="#a2e433a18bf7cc4a3e38a7b2c7c5ea5d9">More...</a><br /></td></tr>
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<tr class="separator:a2e433a18bf7cc4a3e38a7b2c7c5ea5d9"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a7ff0124990223f536a7ad6c54ad72b7a"><td class="memItemLeft" align="right" valign="top">InputDataType </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a7ff0124990223f536a7ad6c54ad72b7a">inputParameter</a></td></tr>
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<tr class="memdesc:a7ff0124990223f536a7ad6c54ad72b7a"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored input parameter object. <a href="#a7ff0124990223f536a7ad6c54ad72b7a">More...</a><br /></td></tr>
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<tr class="separator:a7ff0124990223f536a7ad6c54ad72b7a"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a758afd04f19c960b5988e2548b380c55"><td class="memItemLeft" align="right" valign="top">arma::cube </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a758afd04f19c960b5988e2548b380c55">inputTemp</a></td></tr>
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<tr class="memdesc:a758afd04f19c960b5988e2548b380c55"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored transformed input parameter. <a href="#a758afd04f19c960b5988e2548b380c55">More...</a><br /></td></tr>
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<tr class="separator:a758afd04f19c960b5988e2548b380c55"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a579220e11384a1ff5baa765056dacb64"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a579220e11384a1ff5baa765056dacb64">inputWidth</a></td></tr>
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<tr class="memdesc:a579220e11384a1ff5baa765056dacb64"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored input width. <a href="#a579220e11384a1ff5baa765056dacb64">More...</a><br /></td></tr>
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<tr class="separator:a579220e11384a1ff5baa765056dacb64"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac86096b84b4e1b81d1e51784840260cd"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ac86096b84b4e1b81d1e51784840260cd">inSize</a></td></tr>
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<tr class="memdesc:ac86096b84b4e1b81d1e51784840260cd"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored number of input units. <a href="#ac86096b84b4e1b81d1e51784840260cd">More...</a><br /></td></tr>
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<tr class="separator:ac86096b84b4e1b81d1e51784840260cd"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a4caa1d8911fd09f63ca4601019e15e13"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a4caa1d8911fd09f63ca4601019e15e13">kH</a></td></tr>
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<tr class="memdesc:a4caa1d8911fd09f63ca4601019e15e13"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored filter/kernel height. <a href="#a4caa1d8911fd09f63ca4601019e15e13">More...</a><br /></td></tr>
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<tr class="separator:a4caa1d8911fd09f63ca4601019e15e13"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:af4489dafb6cb83ea25fa5b6baf3b679e"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#af4489dafb6cb83ea25fa5b6baf3b679e">kW</a></td></tr>
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<tr class="memdesc:af4489dafb6cb83ea25fa5b6baf3b679e"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored filter/kernel width. <a href="#af4489dafb6cb83ea25fa5b6baf3b679e">More...</a><br /></td></tr>
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<tr class="separator:af4489dafb6cb83ea25fa5b6baf3b679e"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a54740c9e869934d997f5dd460aefb8c4"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a54740c9e869934d997f5dd460aefb8c4">outputHeight</a></td></tr>
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<tr class="memdesc:a54740c9e869934d997f5dd460aefb8c4"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored output height. <a href="#a54740c9e869934d997f5dd460aefb8c4">More...</a><br /></td></tr>
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<tr class="separator:a54740c9e869934d997f5dd460aefb8c4"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:abdcedb6413d0105ad69103feedeadcd8"><td class="memItemLeft" align="right" valign="top">OutputDataType </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#abdcedb6413d0105ad69103feedeadcd8">outputParameter</a></td></tr>
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<tr class="memdesc:abdcedb6413d0105ad69103feedeadcd8"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored output parameter object. <a href="#abdcedb6413d0105ad69103feedeadcd8">More...</a><br /></td></tr>
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<tr class="separator:abdcedb6413d0105ad69103feedeadcd8"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a1aa898b2d8cfc5ae1fde0760b2b43016"><td class="memItemLeft" align="right" valign="top">arma::cube </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a1aa898b2d8cfc5ae1fde0760b2b43016">outputTemp</a></td></tr>
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<tr class="memdesc:a1aa898b2d8cfc5ae1fde0760b2b43016"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored transformed output parameter. <a href="#a1aa898b2d8cfc5ae1fde0760b2b43016">More...</a><br /></td></tr>
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<tr class="memitem:a090eff12d5b41e937bf22c59b2190b1a"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a090eff12d5b41e937bf22c59b2190b1a">outputWidth</a></td></tr>
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<tr class="memdesc:a090eff12d5b41e937bf22c59b2190b1a"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored output width. <a href="#a090eff12d5b41e937bf22c59b2190b1a">More...</a><br /></td></tr>
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<tr class="memitem:a4ab4efa70730deea85b1dea40a9f475f"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a4ab4efa70730deea85b1dea40a9f475f">outSize</a></td></tr>
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<tr class="memdesc:a4ab4efa70730deea85b1dea40a9f475f"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored number of output units. <a href="#a4ab4efa70730deea85b1dea40a9f475f">More...</a><br /></td></tr>
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<tr class="memitem:a82c26749edd6a44f4337d20a40ad391d"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a82c26749edd6a44f4337d20a40ad391d">padH</a></td></tr>
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<tr class="memdesc:a82c26749edd6a44f4337d20a40ad391d"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored padding height. <a href="#a82c26749edd6a44f4337d20a40ad391d">More...</a><br /></td></tr>
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<tr class="memdesc:a0d6dd4c3dc5ed18026d8ac23b69d71ed"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored padding width. <a href="#a0d6dd4c3dc5ed18026d8ac23b69d71ed">More...</a><br /></td></tr>
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<tr class="memitem:ac72cad8bc050bf0841c37c6a8785f624"><td class="memItemLeft" align="right" valign="top">arma::cube </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ac72cad8bc050bf0841c37c6a8785f624">weight</a></td></tr>
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<tr class="memdesc:ac72cad8bc050bf0841c37c6a8785f624"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored weight object. <a href="#ac72cad8bc050bf0841c37c6a8785f624">More...</a><br /></td></tr>
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<tr class="memitem:a7b469fdbc5785c9951cbd5ed2d221efb"><td class="memItemLeft" align="right" valign="top">OutputDataType </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a7b469fdbc5785c9951cbd5ed2d221efb">weights</a></td></tr>
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<tr class="memdesc:a7b469fdbc5785c9951cbd5ed2d221efb"><td class="mdescLeft"> </td><td class="mdescRight">Locally-stored weight object. <a href="#a7b469fdbc5785c9951cbd5ed2d221efb">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
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<div class="textblock"><h3>template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat><br />
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class mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></h3>
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<p>Implementation of the <a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> class. </p>
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<p>The <a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> class represents a single layer of a neural network.</p>
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<dl class="tparams"><dt>Template Parameters</dt><dd>
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<table class="tparams">
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<tr><td class="paramname">ForwardConvolutionRule</td><td><a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> to perform forward process. </td></tr>
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<tr><td class="paramname">BackwardConvolutionRule</td><td><a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> to perform backward process. </td></tr>
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<tr><td class="paramname">GradientConvolutionRule</td><td><a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> to calculate gradient. </td></tr>
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<tr><td class="paramname">InputDataType</td><td>Type of the input data (arma::colvec, arma::mat, arma::sp_mat or arma::cube). </td></tr>
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<tr><td class="paramname">OutputDataType</td><td>Type of the output data (arma::colvec, arma::mat, arma::sp_mat or arma::cube). </td></tr>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00046">46</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::<a class="el" href="classmlpack_1_1ann_1_1Convolution.html">Convolution</a> </td>
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<td>(</td>
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<p>Create the <a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> object. </p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname"><a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::<a class="el" href="classmlpack_1_1ann_1_1Convolution.html">Convolution</a> </td>
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<td>(</td>
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<p>Create the <a class="el" href="classmlpack_1_1ann_1_1Convolution.html" title="Implementation of the Convolution class. ">Convolution</a> object using the specified number of input maps, output maps, filter size, stride and padding parameter. </p>
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<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname">inSize</td><td>The number of input maps. </td></tr>
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<tr><td class="paramname">outSize</td><td>The number of output maps. </td></tr>
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<tr><td class="paramname">kW</td><td>Width of the filter/kernel. </td></tr>
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<tr><td class="paramname">kH</td><td>Height of the filter/kernel. </td></tr>
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<tr><td class="paramname">dW</td><td>Stride of filter application in the x direction. </td></tr>
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<tr><td class="paramname">dH</td><td>Stride of filter application in the y direction. </td></tr>
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<tr><td class="paramname">padW</td><td>Padding width of the input. </td></tr>
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<tr><td class="paramname">padH</td><td>Padding height of the input. </td></tr>
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<tr><td class="paramname">inputWidth</td><td>The widht of the input data. </td></tr>
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<h2 class="groupheader">Member Function Documentation</h2>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">void <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::Backward </td>
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<p>Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards through f. </p>
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<dl class="params"><dt>Parameters</dt><dd>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::ConvOutSize </td>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00181">181</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">OutputDataType const& <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::Delta </td>
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<p>Get the delta. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00135">135</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00326">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::delta</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify the delta. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00137">137</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00326">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::delta</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. </p>
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<dl class="params"><dt>Parameters</dt><dd>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Get the gradient. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00140">140</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00329">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::gradient</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify the gradient. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00142">142</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00329">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::gradient</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Get the input height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00150">150</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00302">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::inputHeight</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify the input height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00152">152</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00302">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::inputHeight</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Get the input parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00125">125</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00332">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::inputParameter</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify the input parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00127">127</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00332">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::inputParameter</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Get the input width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00145">145</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00299">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::inputWidth</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify input the width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00147">147</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00299">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::inputWidth</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Get the output height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00160">160</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00308">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputHeight</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">size_t& <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::OutputHeight </td>
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<p>Modify the output height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00162">162</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00308">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputHeight</a>, and <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#afc7ca2d8c0a7ba3ee2a9f3c1ba68401f">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::Serialize()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">OutputDataType const& <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::OutputParameter </td>
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<p>Get the output parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00130">130</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00335">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputParameter</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify the output parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00132">132</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00335">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputParameter</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Get the output width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00155">155</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00305">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputWidth</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify the output width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00157">157</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>References <a class="el" href="convolution_8hpp_source.html#l00305">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputWidth</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00227">227</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00251">251</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Get the parameters. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00120">120</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Modify the parameters. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00122">122</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00196">196</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">void <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::Rotate180 </td>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00212">212</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Serialize the layer. </p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00162">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::OutputHeight()</a>.</p>
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<h2 class="groupheader">Member Data Documentation</h2>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored bias term object. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00296">296</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored delta object. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00326">326</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00135">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::Delta()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored stride of the filter in y-direction. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00281">281</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored stride of the filter in x-direction. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00278">278</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored gradient object. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00329">329</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00140">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::Gradient()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored transformed gradient parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00323">323</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored transformed error parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00320">320</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored input height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00302">302</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00150">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::InputHeight()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored transformed padded input parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00317">317</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Locally-stored input parameter object. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00332">332</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00125">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::InputParameter()</a>.</p>
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<p>Locally-stored transformed input parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00314">314</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored input width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00299">299</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00145">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::InputWidth()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::inSize</td>
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<p>Locally-stored number of input units. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00266">266</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::kH</td>
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<p>Locally-stored filter/kernel height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00275">275</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::kW</td>
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<p>Locally-stored filter/kernel width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00272">272</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">size_t <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputHeight</td>
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<p>Locally-stored output height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00308">308</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00160">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::OutputHeight()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">OutputDataType <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputParameter</td>
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<p>Locally-stored output parameter object. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00335">335</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00130">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::OutputParameter()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">arma::cube <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::outputTemp</td>
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<p>Locally-stored transformed output parameter. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00311">311</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored output width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00305">305</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00155">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::OutputWidth()</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored number of output units. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00269">269</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored padding height. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00287">287</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<p>Locally-stored padding width. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00284">284</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">arma::cube <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::weight</td>
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<p>Locally-stored weight object. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00293">293</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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template<typename ForwardConvolutionRule = NaiveConvolution<ValidConvolution>, typename BackwardConvolutionRule = NaiveConvolution<FullConvolution>, typename GradientConvolutionRule = NaiveConvolution<ValidConvolution>, typename InputDataType = arma::mat, typename OutputDataType = arma::mat> </div>
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<td class="memname">OutputDataType <a class="el" href="classmlpack_1_1ann_1_1Convolution.html">mlpack::ann::Convolution</a>< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::weights</td>
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<p>Locally-stored weight object. </p>
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<p>Definition at line <a class="el" href="convolution_8hpp_source.html#l00290">290</a> of file <a class="el" href="convolution_8hpp_source.html">convolution.hpp</a>.</p>
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<p>Referenced by <a class="el" href="convolution_8hpp_source.html#l00120">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType >::Parameters()</a>.</p>
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<hr/>The documentation for this class was generated from the following file:<ul>
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<li>src/mlpack/methods/ann/layer/<a class="el" href="convolution_8hpp_source.html">convolution.hpp</a></li>
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</small></address>
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</body>
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<script type="text/javascript">
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var x = document.getElementsByClassName("formulaDsp");
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var i;
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for (i = 0; i < x.length; i++)
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{
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x[i].width /= 4;
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}
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</script>
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</html>
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