Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Alison Lowndes

Alison Lowndes
Solution Architect and Community Manager, NVIDIA

Website

Alison Lowndes is a solution architect and community manager at NVIDIA. Alison has 25+ years in international project management and entrepreneurship with two decades spent within the internet arena. In her spare time, she is a founder trustee of a global volunteering network. A very recent graduate in artificial intelligence at the University of Leeds, where she where she completed a thorough empirical study of deep learning, specifically with GPU technology, covering the entire history and technical aspects of GPGPU with underlying mathematics, Alison combines technical and theoretical computer science with a physics background.

Sessions

9:0012:30 Tuesday, 23 May 2017
SOLD OUT
Data science and advanced analytics
Location: Capital Suite 13
Secondary topics:  AI, Deep learning
Level: Intermediate
Alison Lowndes (NVIDIA)
Average rating: **...
(2.50, 4 ratings)
Alison Lowndes leads a hands-on exploration of approaches to the challenging problem of detecting if an object of interest is present within an image and, if so, recognizing its precise location within the image. Along the way, Alison walks you through testing three different approaches to deploying a trained DNN for inference. Read more.