REGISTER HERE: https://goo.gl/forms/kSkRpCTqWvam14lP2
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ABSTRACT
IBM Watson Visual Recognition understands an image's content out-of-the-box. Watson provides pre-trained models that enable you to analyze images for objects, faces, colors, food, explicit content & other subjects for insights into your visual content. Come join us in this hand's on workshop to learn how to use these pre-built classifiers & additionally create custom classifiers in Watson Studio for your domain & use case. We will build an electron desktop application that will identify an image using your own classifier. The application will additionally use CouchDB/Cloudant for storage & OpenWhisk/IBM Cloud Functions to trigger visual analysis. Don't forget to bring your laptops to follow along with the speaker!

Developers will learn:
1. Introduction to visual recognition & IBM Watson Studio
2. Clone & run the electron application
3. Create Cloudant database for storage
4. Create IBM Cloud Functions & appropriate triggers & rules
5. Specify your own custom classifier in the application

SPEAKER:
Upkar Lidder is a Full Stack Developer & Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences & participating in local tech groups & meetups. He is currently curious about magic behind Machine Learning & Deep Learning, specifically use of NLP in chatbots. Upkar went to graduate school in Canada & currently resides in the United States. You can find him on Twitter at https://twitter.com/lidderupk.

AGENDA
6:00-6:30 Registration & Networking
6:30-6:40 Intros from The Hive & IBM Developers
6:40-7:50 Hands On Workshop
7:50-8:00 Audience Q&A