Скачать или смотреть TFX on Google Cloud Vertex Pipelines GSP1023

Overview
Tensorflow Extended (TFX) is Google's end-to-end platform for training and deploying TensorFlow models into production. TFX pipelines orchestrate ordered runs of a sequence of components for scalable, high-performance machine learning tasks in a directed graph. It includes pre-built and customizable components for data ingestion and validation, model training and evaluation, as well as model validation and deployment. TFX is the best solution for taking TensorFlow models from prototyping to production with support on-prem environments and in the cloud such as on Google Cloud's Vertex Pipelines.

Vertex AI Pipelines helps you to automate, monitor, and govern your ML systems by orchestrating your ML workflow in a serverless manner, and storing your workflow's artifacts using Vertex ML Metadata.

In this lab you will learn how to deploy and run a TFX pipeline on Google Cloud that automates the development and deployment of a TensorFlow 2.7 classification model which predicts the species of penguins.

Objectives
Create a TFX Pipeline using TFX APIs.
Define a pipeline runner that uses Vertex Pipelines together with the Kubeflow V2 dag runner.
Deploy and monitor a TFX pipeline on Vertex Pipelines.
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