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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 and 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 and additionally create custom classifiers in Watson Studio for your domain and 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 and 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 and IBM Watson Studio
2. Clone and run the electron application
3. Create Cloudant database for storage
4. Create IBM Cloud Functions and appropriate triggers and rules
5. Specify your own custom classifier in the application
Upkar Lidder is a Full Stack Developer and Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences and participating in local tech groups and meetups. He is currently curious about magic behind Machine Learning and Deep Learning, specifically use of NLP in chatbots. Upkar went to graduate school in Canada and currently resides in the United States. You can find him on Twitter at https://twitter.com/lidderupk.
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