How to run Tensorflow.js on a serverless platform : deploying models

This is the last part of a 3 articles serie. In the first part, we introduced neural networks and TensorFlow framework basics. In the second part, we explained how to convert existing models from Python to TensorFlow.js Finally, we present today, through an example, how to use an online TensorFlow.js model and deploy it rapidly using our WarpJS JavaScript Serverless Function-as-a-Service (FaaS). Many public models can be retrieved from web databases.