Supervised Classification

Calls may be classified with a supervised neural network. This network operates on the spectrogram, rather than the contour.

To use a supervised classifier:

1. Select "Tools > Call Classification > Supervised Classification"

2. In the list box, select the detection files to classify, and click "OK".

To train a supervised classifier:

1. Select "Tools > Network Training > Train Supervised Classifier"

2. Select the detection files to to use for training (These must contain labels for classification)

   • Rejected calls and "Noise" labeled calls will be ignored

3. The network will begin training and can be stopped any time

4. A confusion matrix will appear when training finishes and you will be prompted to save the network

5. For MATLAB savvy individuals, you can adjust the network parameters in "DeepSqueak/Functions/Network_Training/TrainSupervisedClassifier_Callback.m"