12 November 2018
Image recognition is one of the most explosive growth areas in machine learning. Get a hands-on introduction at our workshop.
Here's just a few of the exciting uses of machine learning:
This talk and tutorial will teach you how to train a Visual Recognition Classifier in Watson Studio using Tensorflow and Keras open-source libraries.
It's all on a cloud based lab so no need for any special hardware or local installation to take part.
Secondly, the talk will cover next steps on how to convert the Keras model to a CoreML model for edge computing right on an iPhone/iPad. No cloud or internet required!
Why is edge computing exciting? The response time is fast and data stays private for users not moving to the cloud and there's no need for a constant internet connection (or using up data plans).
You will see a demo of the final product in an iOS application, where the application is able to identify various objects trained in the custom model.
No previous programming experience is required as all the code will be walked through by instructors.
Just bring a charged laptop (and your charger just in case).
Nick Bourdakos (@bourdakos1), Developer Advocate, IBM
Helen Lam (@helennnsays), Developer Advocate, IBM
3:00pm - 5:00pm Visual Recognition Workshop in Library Room
5:00pm - 5:30pm Post workshop Q&A with trainers and attendees in the main lounge
5:30pm - 6:30pm Networking, food and drinks
The workshop is over and we'd love for you to stay for our follow-up event on machine learning for driving team productivity!
6:30pm - 6:35pm Kickoff
6:35pm - 7:10pm Eric Typaldos, Founder and CTO of Hive - Using Machine Learning to Build Better Teams
7:10pm - 7:40pm TBA
7:40pm - 7:50pm Community Asks and Offers
7:50pm - 8:45pm Post event networking