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
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Product: AIML, Tensorflow Extended; fullname: Priyanka Vergadia;
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