How to build an ML pipeline with TFX

Tensorflow Extended (TFX) is an end-to-end platform for deploying production ML pipelines that allows developers to complete scalable, high-performing machine learning tasks. In this episode of AI Adventures, we give you a quick overview of TFX - showing you how it makes creating, managing, and deploying production ML pipelines. Chapters: 0:00 - Intro 1:08 ML workflow steps 2:15 How to create end to end ML pipeline 3:00 How does TFX pipeline works 3:30 What is a component 4:55 Define the different components of TFX pipeline Check out the rest of the AI Adventures playlist → Subscribe to Google Cloud Tech → Product: AIML, Tensorflow Extended; fullname: Priyanka Vergadia; #AIAdventures