© Juan De Dios Santos Rivera 2020
J. D. D. S. RiveraPractical TensorFlow.jshttps://doi.org/10.1007/978-1-4842-6273-3_8

8. Training an image classifier with transfer learning on Node.js

Juan De Dios Santos Rivera1 
(1)
San Juan, PR, USA
 

An intersection between the products we have so far built—a game, a web application, or a Chrome extension—is that they live in the browser. From this ecosystem, we have trained models, loaded others, visualized data, detected mean words, and more. But the reality is different. Unlike our apps, most of the models we interact with every day are in a server, and not client-side. There, from the server, we deploy and expose machine learning models to the users through a service. In this chapter, we will create one.

Using ...

Get Practical TensorFlow.js: Deep Learning in Web App Development now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.