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POWhy is neural network not predicting?
 

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  1. POWhy is neural network not predicting?
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    <p>I am trying to train a neural network using backpropagation algo. in OpenCV 2.3. However it is not predicting correctly....not even on training dataset. Could anybody please help me find whats wrong here?</p> <p>training_feature_matrix - Nx69 matrix of float values</p> <p>training_age_matrix - Nx4 matrix of float values</p> <p>test_feature_matrix - Mx69 matrix of float values</p> <p>test_age_matrix - Mx4 matrix of float values</p> <p>the feature matrices (mentioned above) are like: [0.123435, 0.4542665, 0.587545, ...68-such values + last value '1.0 or 2.0' depending upon its male/female)</p> <p>the age-matrices (mentioned above) are like: [1, 0, 0 ,0; 1, 0, 0, 0; 0, 1, 0, 0; ...] here 1s show the class of age (baby, child, adult, old) the corresponding row of feature matrix belongs to.</p> <p>here is the code: I call 'mlp' function using above matrices as parameters)</p> <pre><code>cv::Mat mlp(cv::Mat&amp; training_feature_matrix, cv::Mat&amp; training_age_matrix, cv::Mat&amp; test_feature_matrix, cv::Mat&amp; test_age_matrix) { cv::Mat layers = cv::Mat(3, 1, CV_32SC1); layers.row(0) = cv::Scalar(69); layers.row(1) = cv::Scalar(36); layers.row(2) = cv::Scalar(4); // cout&lt;&lt;layers&lt;&lt;"\n"; CvANN_MLP ann; CvANN_MLP_TrainParams params; CvTermCriteria criteria; criteria.max_iter = 10000; criteria.epsilon = 0.001; criteria.type = CV_TERMCRIT_ITER + CV_TERMCRIT_EPS; params.train_method = CvANN_MLP_TrainParams::BACKPROP; params.bp_dw_scale = 0.1; params.bp_moment_scale = 0.1; params.term_crit = criteria; ann.create(layers, CvANN_MLP::SIGMOID_SYM); ann.train(training_feature_matrix, training_age_matrix, cv::Mat(), cv::Mat(), params); cv::Mat predicted(test_age_matrix.rows, 4, CV_32SC1); for(int i = 0; i &lt; test_feature_matrix.rows; i++) { cv::Mat response(1, 4, CV_32F); cv::Mat sample = test_feature_matrix.row(i); ann.predict(sample, response); for (int g = 0; g &lt; 4; g++) { predicted.at&lt;int&gt;(i,g) = response.at&lt;float&gt;(0,g); } } cout &lt;&lt; "\n"; cout &lt;&lt; ann.get_weights(0) &lt;&lt; "\n"; cout &lt;&lt; ann.get_layer_sizes() &lt;&lt; "\n"; cout &lt;&lt; ann.get_layer_count() &lt;&lt; "\n\n"; return predicted; } </code></pre> <p><strong>EDIT</strong> Also, the ann.get_weights(0) &amp; ann.get_layer_sizes() are returning garbage values but ann.get_layer_count() is returning correct value 3.</p> <p>Thanks :)</p>
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    1. COann.get_weights(0) & ann.get_layer_sizes() return pointers, so will look like "rubbish" if you print them like you have. The rest of your code seems to be ok, are you sure your data is good? What exactly does "it is not predicting correctly" mean?
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    2. CO@user2151446 how do i extract values from those pointers? not predicting correctly means....the output prediction matrix that I'm getting is a matrix of float values...there are positive, negative values and also values greater than 1....its not making sense... the input data is perfectly fine...each in the form of float-matrix as OpenCV demands...
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    3. CO@user2151446 I am able to extract values out from ann.get_weights() but not bale to extract ann.get_layer_sizes() value. What should I do?
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