TensorFlow Extended
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May 1, 2024
4 minute read
TensorFlow Extended (TFX) is a set of tools that help you build, train, and manage machine learning (ML) pipelines. TFX is a popular tool used in the industry and is helpful for automating the end-to-end (E2E) workflow associated with ML pipelines and life cycles of models. With TFX, you can use TensorFlow – a leading ML library – to train your model and then deploy it to the cloud for production.
What is a Machine Learning Pipeline?
A machine learning pipeline is the complete process of building, training, and deploying a machine learning model. The pipeline includes the following steps:
- Data Collection & Preparation: Gathering and preparing raw data for modeling.
- Feature Engineering: Creating new features from the raw data that are better suited for modeling.
- Model Training: Training a machine learning model on the prepared data.
- Model Evaluation: Evaluating the performance of the trained model.
- Model Deployment: Deploying the trained model to production.
TensorFlow Extended Supports Model Development
Read More
Find a path to becoming a TensorFlow Extended. Learn more at:
OpenCourser.com/topic/xl9sh7/tensorflow
