blacklight/neuralpp
1
0
Fork 0
mirror of https://github.com/BlackLight/neuralpp.git synced 2025-07-24 14:28:54 +02:00
Code Issues Projects Releases Packages Wiki Activity

Is it time to release 1.0 version?

Browse source
This commit is contained in:
blacklight 2009-09-04 11:27:14 +02:00
parent 89b0ad2f8a
commit a7fa05ba40
140 changed files with 1710 additions and 829 deletions

18
doc/html/classneuralpp_1_1NeuralNet-members.html
View file

@ -26,13 +26,12 @@
<h1>neuralpp::NeuralNet Member List</h1>This is the complete list of members for <a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a>, including all inherited members.<p><table>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#c1469e6afd87d85b82f14bc246f82457">actv_f</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e17732ed578bc4bd6032bfae58a5cf51">closeXML</a>(std::string &amp;xml)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#f697a8d9967ad8f03e5a16a42cd110c5">commitChanges</a>(Layer &amp;l)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#4cb52dae7b43d03fac73afca7b9f3a51">epochs</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#8a140d28e6dd4097470c7c138801ad01">error</a>(double ex)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#a9e4ff43427f56663739c4c7450de8ee">expect</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#562dfe9fb8d73bf25a23ce608451d3aa">expected</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#562dfe9fb8d73bf25a23ce608451d3aa">expected</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f5ec2727c0756ddb097b53efe49b81afb">file</a> enum value</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#51a1851ed07b85bec091c9053ae99cf7">getExpected</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#51a1851ed07b85bec091c9053ae99cf7">getExpected</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#961dce8913264bf64c899dce4e25f810">getOutput</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e6d2215ecc8b560db2f6797db642191c">getOutputs</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e08cdcf4b70f987700e553d9914f6179">getThreshold</a>() const </td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
@ -40,7 +39,8 @@
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#96da6712a72051cf34ad961761ef6e08">initXML</a>(std::string &amp;xml)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e2b4e8405f9d25edab395d61502bdba9">input</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#6bd7be443e46b2fdbf1da2edb8e611ab">l_rate</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#46f23f462318a4ffc037a4e806364c3f">link</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#46f23f462318a4ffc037a4e806364c3f">link</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#a060e28b438613a6cc9e0895ddbc292b">loadFromBinary</a>(const std::string fname)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#92b145f2f6f00bf1ba645ce2235882c2">NeuralNet</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [inline]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#3d602f3988a9a3e2c77dc6955674f412">NeuralNet</a>(size_t in_size, size_t hidden_size, size_t out_size, double l, int e, double th=0.0, double(*a)(double)=__actv)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b4bfa407d28bb17abf7f735a049987d9">NeuralNet</a>(const std::string file)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
@ -48,19 +48,19 @@
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#c129c180647362da963758bfd1ba6890">propagate</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#4f88106c9e542c39eac43b4ca1974a2a">ref_epochs</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#fdf94c276720c25e565cac834fe8a407">save</a>(const char *fname)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b6475762b7e9eab086befdc511f7c236">setExpected</a>(double ex)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e649edc3d86bec7c0e178d5c892b4fd7">setExpected</a>(std::vector&lt; double &gt; ex)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#520147d9b47b69565567bd3fdcfd8897">saveToBinary</a>(const char *fname)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b6475762b7e9eab086befdc511f7c236">setExpected</a>(double ex)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#e649edc3d86bec7c0e178d5c892b4fd7">setExpected</a>(std::vector&lt; double &gt; ex)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#405b32d2928344314ecf0469070b0f17">setInput</a>(std::vector&lt; double &gt; v)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f">source</a> enum name</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#83c6555520856d5867752904349ab6ca">split</a>(char delim, std::string str)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94c36c94060e785ea67a0014c4182f8f6d06b4fe9414a158c97aee1a3679a904">str</a> enum value</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#327dbfdd72b0a74293f8f29630525aa3">threshold</a></td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#1c9e17437d41a7048611e21a3cc1c7dd">train</a>(std::string xml, source src)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b0bd1daadb06980dff1f50d33a7c098e">update</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#b0bd1daadb06980dff1f50d33a7c098e">update</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#94169c89a7cd47122ab5dbf1d5c5e108">updateWeights</a>()</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [private]</code></td></tr>
<tr class="memlist"><td><a class="el" href="classneuralpp_1_1NeuralNet.html#0a2733037af912b3e6a10146e7b7172f">XMLFromSet</a>(int &amp;id, std::string set)</td><td><a class="el" href="classneuralpp_1_1NeuralNet.html">neuralpp::NeuralNet</a></td><td><code> [static]</code></td></tr>
</table></div>
<hr size="1"><address style="text-align: right;"><small>Generated on Sun Aug 16 20:53:42 2009 for Neural++ by&nbsp;
<hr size="1"><address style="text-align: right;"><small>Generated on Fri Sep 4 11:25:49 2009 for Neural++ by&nbsp;
<a href="http://www.doxygen.org/index.html">
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
</body>