March 13-15, 2019
Montreal, Canada

Deep Learning at the Edge with TensorFlow.js

With TensorFlow.js developers can embed pre-trained deep learning models directly within a Node.js or web application. Deep learning can be used for many tasks including image or audio classification, facial recognition, object recognition, image caption generation, and natural language processing. TensorFlow.js enables inferencing on deep learning models at the edge, removing the dependency on potentially slow and unreliable network API calls.

View all 147 sessions

Bradley Holt

IBM

Bradley Holt leads a team of developer advocates at IBM who are democratizing data and AI through open source technologies. His team's work includes helping developers integrate open source deep learning models into their applications, enabling developers and data scientists to better collaborate, fostering the publication and usability of open data, advancing the usage of data and AI for social good, and promoting open standards for the deployment and operationalization of data and AI.

Read More

Montreal 2019 sponsored by

Become a sponsor