TensorFlow Extended (TFX) - Production-Grade Machine Learning Pipelines 🤖

TensorFlow Extended (TFX) is an open-source platform for building and deploying production-ready machine learning pipelines. It extends TensorFlow with tools for data validation, model training, serving, and monitoring. Below are key components of TFX:

📌 Core Components

• Data Validation: Ensures data quality using TFX's Data Validation module.
• Model Training: Automates training workflows with TFX's Trainer component.
• Model Evaluation: Validates model performance using TFX's Evaluator component.
• Model Deployment: Deploys models to production with TFX's Deployer component.

📘 Why Use TFX?

• Scalability: Designed for large-scale data and model workflows.
• Reproducibility: Ensures consistent pipeline execution.
• Integration: Seamlessly works with TensorFlow and other tools.

For deeper exploration, check our TensorFlow Extended documentation in Chinese. 🌐