Multi-task learning

In multi-task learning, transfer learning happens to be from one pre-trained model to many tasks simultaneously. For example, in self-driving cars, the deep neural network detects traffic signs, pedestrians, and other cars in front at the same time. Speech recognition also benefits from multi-task learning.