What are the deployment targets for the Pusher component in TFX?
Sunday, 06 August 2023
by EITCA Academy
The Pusher component in TensorFlow Extended (TFX) is a fundamental part of the TFX pipeline that handles the deployment of trained models to various target environments. The deployment targets for the Pusher component in TFX are diverse and flexible, allowing users to deploy their models to different platforms depending on their specific requirements. In this
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow Extended (TFX), Distributed processing and components, Examination review
Tagged under:
Artificial Intelligence, Deployment, Google Cloud AI Platform, Pusher, TensorFlow, TensorFlow Serving, TFX
How are TFX pipelines organized?
Sunday, 06 August 2023
by EITCA Academy
TFX pipelines are organized in a structured manner to facilitate the development and deployment of machine learning models in a scalable and efficient manner. These pipelines consist of several interconnected components that work together to perform various tasks such as data ingestion, preprocessing, model training, evaluation, and serving. In this answer, we will explore the