Media Summary: Wei Wei, Developer Advocate at Google, walks through how to send REST and gRPC prediction requests to 00:14 What is in the program 00:30 Where we can use the Once a machine learning model is trained, it must be deployed so real applications can use it. That's where model
Tensorflow Serving Client Examples - Detailed Analysis & Overview
Wei Wei, Developer Advocate at Google, walks through how to send REST and gRPC prediction requests to 00:14 What is in the program 00:30 Where we can use the Once a machine learning model is trained, it must be deployed so real applications can use it. That's where model Wei Wei, Developer Advocate at Google, shares several advanced Wei Wei, Developer Advocate at Google, overviews deploying ML models into production with In this video, we'll walk you through a minimum working
Serving is the process of applying a trained model in your application. In this talk, Noah Fiedel describes
