WebAI — Artificial Intelligence for the Web

Deploying AI in the Browser

Running machine learning programs entirely client-side in the browser unlocks new opportunities, like interactive ML! From a user’s perspective, there’s no need to install any libraries or drivers : Just open a webpage, and your program is ready to run! On a mobile device, the model can take advantage of sensor data (i.e.: gyroscope or accelerometer). Finally, all data stays on the client, making TensorFlow.js useful for low-latency inference, as well as for privacy preserving applications.

Montréal.AI Web — Artificial Intelligence for the Web

Low-Latency Inference and Privacy Preserving Applications

An overview of TensorFlow.js

The …

TensorBoard: Visualizing Learning

See the Pen Robot Neil’s Bubble Bath by Tero Parviainen (@teropa) on CodePen.

#AI #AIFirst #MontrealAI #MontrealArtificialIntelligence

Your browser is out-of-date!

Update your browser to view this website correctly. Update my browser now