Merge pull request #2107 from nghiaho12:nn_doc
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@ -240,6 +240,7 @@ This method applies the specified training algorithm to computing/adjusting the
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The RPROP training algorithm is parallelized with the TBB library.
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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.
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CvANN_MLP::predict
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------------------
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@ -257,6 +258,8 @@ Predicts responses for input samples.
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The method returns a dummy value which should be ignored.
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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].
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CvANN_MLP::get_layer_count
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--------------------------
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Returns the number of layers in the MLP.
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