Multi-task learning

Example: Predict if picture contains pedestrians, cars, stop signs as one output vector

Also works for NA features (if not all are present).

When to use:

• Shared lower-level features
• Amount of data for each task is similar (data could be helpful for other tasks)
• Training a big enough network possible