What is TensorFlow Extended?

TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. It provides a configuration framework and common libraries to integrate with other popular ML tools such as TensorFlow, Apache Beam, and Kubeflow. TFX is commonly used for building robust, scalable, and maintainable machine learning systems that can handle large datasets and complex models. It allows for automating the entire ML lifecycle, from data validation and preprocessing to model training, evaluation, and deployment.