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; } }