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Improved documentation for neural network

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Nghia Ho 2014-01-03 14:18:07 +11:00
parent 5327482b46
commit d3e24f3cbf
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modules/ml/doc/neural_networks.rst
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@ -240,6 +240,7 @@ This method applies the specified training algorithm to computing/adjusting the
The RPROP training algorithm is parallelized with the TBB library.
If you are using the default ``cvANN_MLP::SIGMOID_SYM`` activation function then the output should be in the range [-1,1], instead of [0,1], for optimal results.
CvANN_MLP::predict
------------------
@ -257,6 +258,8 @@ Predicts responses for input samples.
The method returns a dummy value which should be ignored.
If you are using the default ``cvANN_MLP::SIGMOID_SYM`` activation function with the default parameter values fparam1=0 and fparam2=0 then the function used is y = 1.7159*tanh(2/3 * x), so the output will range from [-1.7159, 1.7159], instead of [0,1].
CvANN_MLP::get_layer_count
--------------------------
Returns the number of layers in the MLP.