Keras vs TensorFlow: which should you use for production?

TensorFlow provides full control over model performance and production-grade deployments, with scalability, optimisation, and advanced features. Keras is a simpler API, originally developed on top of TensorFlow for usability, and is suitable for experimentation. For robust production workflows, you usually use TensorFlow directly - perhaps with Keras as the high-level front end.