Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Anmol Jagetia

Anmol Jagetia
Software Engineer, Media.net

Website

Anmol Jagetia is a software engineer at Media.net, one of the biggest ad tech companies globally, which was recently acquired by a Chinese consortium for $900M USD in the third-largest ad tech deals ever. Anmol is interested in machine learning, deep and reinforcement learning, web technologies, open source software, data science, and introducing people to technology. He has spoken at a number of conferences, including the O’Reilly AI Conference in New York in 2017. He has also authored some popular open source projects such as Flatabulous, which received over 2.2K stars on GitHub and has been downloaded close to a million times. Anmol was part of HPCC as a Google Summer of Code Student and interned at the prestigious Max Planck Institute for Software Systems, Germany, and Complutense University of Madrid, Spain. He graduated from the prestigious Indian Institute of Information Technology, Allahabad. He has also published his research with the IEEE and has forthcoming papers on interesting applied aspects of machine learning.

Sessions

16:00–16:40 Wednesday, 10 October 2018
Building a Pokédex to recognize Pokémon in real time using TensorFlow and object recognition
Implementing AI, Interacting with AI
 Location: Westminster Suite
Secondary topics:  Computer Vision, Deep Learning tools
Anmol Jagetia (Media.net)
Machine learning and object recognition have matured to the point that exciting applications are now possible. Anmol Jagetia demonstrates how to create a Pokédex that uses a camera phone to recognize the Pokémon it's looking at in real time. You'll see how to gather data, prepare your dataset, tune models, and deploy it to a mobile device, using the same tech that is used in self-driving cars. Read more.