Bradley Holt

Bradley Holt

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.

Sessions Montréal 2019

A Gentle Introduction to Deep Learning for Developers

Session en anglais - Débutant

While we are a long way out from machines that can perform artificial general intelligence (AGI) tasks, deep learning can be used for many narrow artificial intelligence (AI) tasks including image or audio classification, facial recognition, object recognition, image caption generation, and natural language processing. We will explore how developers can easily integrate open source deep learning models into their applications.

Deep Learning at the Edge with TensorFlow.js

Session en anglais - Intermédiaire

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.

Sessions Montréal 2017

Sessions Vancouver 2016

Sessions Montréal 2016