Before revision: Deep learning models are increasingly used for end-user applications, supporting both novel features , such as facial recognition, and traditional features, such as web search.
After revision: Deep learning models are increasingly used for end-user applications, supporting both novel features , such as facial recognition, and traditional features, e.g. web search.