How can we create a static model for serving predictions in TensorFlow?
Wednesday, 02 August 2023
by EITCA Academy
To create a static model for serving predictions in TensorFlow, there are several steps you can follow. TensorFlow is an open-source machine learning framework developed by Google that allows you to build and deploy machine learning models efficiently. By creating a static model, you can serve predictions at scale without the need for real-time training
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale, Examination review
Tagged under:
Artificial Intelligence, Google Cloud, Machine Learning, Serving Predictions, Static Model, TensorFlow