tensorflow is a platform for machine learning.
tensorflow can be deployed on the backend, web (tensorflow.js), mobile & embedded (tensorflow-lite).
TFX is a pipeline is a sequence of components that implement an ML pipeline for production uses. The various parts of the pipeline could be: Ingest and validate data, Train and analyze model, and finally deploy to production. Various components like - ML metadata, TF validation, TF Transform, TF (algo library), TF Model Analysis, TF Serving, TFlite, TF.js come into use in the above stages of the pipeline.