package water.api;
import hex.deeplearning.DeepLearning;
/**
* Tutorial about deep learning.
* @see DeepLearning
*/
public class TutorialDeepLearning extends TutorialWorkflow {
private final transient TutorWorkflow _wf;
private final static String[][] TUTORIAL_STEPS = new String[][]{
/* Title Short Summary File containing step description */
new String[] { "Step 1", "Introduction" , "/tutorials/deeplearning/step1.html" },
new String[] { "Step 2", "Dataset inhale", "/tutorials/deeplearning/step2.html" },
new String[] { "Step 3", "Parsing the dataset", "/tutorials/deeplearning/step3.html" },
new String[] { "Step 4", "Inspecting the dataset", "/tutorials/deeplearning/step4.html" },
new String[] { "Step 5", "Building the model", "/tutorials/deeplearning/step5.html" },
new String[] { "Step 6", "Inspecting the model", "/tutorials/deeplearning/step6.html" },
new String[] { "Step 7", "Predicting on a test set", "/tutorials/deeplearning/step7.html" },
new String[] { "Step 8", "Score the prediction", "/tutorials/deeplearning/step8.html" },
};
public TutorialDeepLearning() {
_wf = new TutorWorkflow("Deep Learning Tutorial");
int i = 1;
for (String[] info : TUTORIAL_STEPS) {
_wf.addStep(i++, new FileTutorStep(info));
}
}
@Override
protected TutorWorkflow getWorkflow() {
return _wf;
}
}