An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
10 (alcohol_burner, bunsen_burner, dynamometer, forcep, hatchery, microscope, microscope_slide, skeleton_model, spoon_spatula, test_tube)
10 (alcohol_burner, bunsen_burner, dynamometer, forcep, hatchery, microscope, mi ...
Show all features
10 (alcohol_burner, bunsen_burner, dynamometer, forcep, hatchery, microscope, microscope_slide, skeleton_model, spoon_spatula, test_tube)
10 (alcohol_burner, bunsen_burner, dynamometer, forcep, hatchery, microscope, microscope_slide, skeleton_model ...
Show all features
You'll need some training data to design your first impulse.