Haskell Artificial Neural Networking library
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- </script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption empty"> </p></div><div id="content"><div id="index"><p class="caption">Index</p><table><tr><td class="src">--></td><td class="module"><a href="Network.html#v:-45--45--62-">Network</a></td></tr><tr><td class="src">ActivationFunction</td><td class="module"><a href="Network.html#t:ActivationFunction">Network</a></td></tr><tr><td class="src">ActivationFunctionDerivative</td><td class="module"><a href="Network.html#t:ActivationFunctionDerivative">Network</a></td></tr><tr><td class="src">biases</td><td class="module"><a href="Network.html#v:biases">Network</a></td></tr><tr><td class="src">CostFunction</td><td class="module"><a href="Network.html#t:CostFunction">Network</a></td></tr><tr><td class="src">CrossEntropyCost</td><td class="module"><a href="Network.html#v:CrossEntropyCost">Network</a></td></tr><tr><td class="src">getDelta</td><td class="module"><a href="Network.html#v:getDelta">Network</a></td></tr><tr><td class="src">Lambda</td><td class="module"><a href="Network.html#t:Lambda">Network</a></td></tr><tr><td class="src">Layer</td><td> </td></tr><tr><td class="alt">1 (Type/Class)</td><td class="module"><a href="Network.html#t:Layer">Network</a></td></tr><tr><td class="alt">2 (Data Constructor)</td><td class="module"><a href="Network.html#v:Layer">Network</a></td></tr><tr><td class="src">layers</td><td class="module"><a href="Network.html#v:layers">Network</a></td></tr><tr><td class="src">LearningRate</td><td class="module"><a href="Network.html#t:LearningRate">Network</a></td></tr><tr><td class="src">loadNetwork</td><td class="module"><a href="Network.html#v:loadNetwork">Network</a></td></tr><tr><td class="src">Network</td><td> </td></tr><tr><td class="alt">1 (Type/Class)</td><td class="module"><a href="Network.html#t:Network">Network</a></td></tr><tr><td class="alt">2 (Data Constructor)</td><td class="module"><a href="Network.html#v:Network">Network</a></td></tr><tr><td class="src">newNetwork</td><td class="module"><a href="Network.html#v:newNetwork">Network</a></td></tr><tr><td class="src">output</td><td class="module"><a href="Network.html#v:output">Network</a></td></tr><tr><td class="src">QuadraticCost</td><td class="module"><a href="Network.html#v:QuadraticCost">Network</a></td></tr><tr><td class="src">Sample</td><td class="module"><a href="Network.html#t:Sample">Network</a></td></tr><tr><td class="src">Samples</td><td class="module"><a href="Network.html#t:Samples">Network</a></td></tr><tr><td class="src">saveNetwork</td><td class="module"><a href="Network.html#v:saveNetwork">Network</a></td></tr><tr><td class="src">sigmoid</td><td class="module"><a href="Network.html#v:sigmoid">Network</a></td></tr><tr><td class="src">sigmoid'</td><td class="module"><a href="Network.html#v:sigmoid-39-">Network</a></td></tr><tr><td class="src">TrainingDataLength</td><td class="module"><a href="Network.html#t:TrainingDataLength">Network</a></td></tr><tr><td class="src">trainNTimes</td><td class="module"><a href="Network.html#v:trainNTimes">Network</a></td></tr><tr><td class="src">trainShuffled</td><td class="module"><a href="Network.html#v:trainShuffled">Network</a></td></tr><tr><td class="src">weights</td><td class="module"><a href="Network.html#v:weights">Network</a></td></tr></table></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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