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With Grant Steinfeld (IBM Developer Advocate for Blockchain).
Wednesday, March 04, 2020 at 06:30 PM   Absolutely Free
LMHQ, 150 Broadway, 20th Fl

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Are you interested how computers see? Want to easily build software that recognizes objects? Did that photograph contain a person on a motorbike? Finding that training a Computer Vision Deep Learning Model is hard or unreliable? If so then this workshop is for you!

Using IBM's Model Asset Exchange (MAX) you will be able to create a microservice that lets you upload images where Deep Learning will return an annotated image with tag names, probabilities & categories.

In this meetup, you will learn...

By completing this workshop, you will learn how to deploy a deep learning microservice that uses IBM's Model Asset Exchange MAX on your laptop & then deploy it to Red Hat OpenShift.

In addition, you will know how to use the OpenShift web console or the OpenShift Container platform command-line interface oc to:

- Create a new project
- Deploy a model-serving microservice from a public container image on Docker Hub
- Create a route that exposes the microservice to the public

Please bring a laptop follow along & Please sign up for IBM cloud via:

**Please bring your Meetup RSVP Confirmation & ID to check-in**


6:30-7pm: Registration, drinks, snacks, meet & greet
7pm-830pm: Presentation
8:30pm: Questions & Networking

About the Presenters :

Grant Steinfeld (@gsteinfeld) is the IBM Developer Advocate for Blockchain, Java, & NodeJS. Grant is an accomplished & innovative senior software architect & engineer with a reputation for delivering client-focused solutions. He is a problem solver & team mentor with the ability to work with & manage development teams. He is able to interface with senior management & product teams in order to translate business requirements & challenges into project plans & solutions.


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CODAIT Center for Open-Source Data & AI Technologies - Improving the Enterprise AI Lifecycle in Open Source

IBM Developer Model Asset Exchange: Human [Yoga] Pose Estimator Demo

Learning Path series: An introduction to the Model Asset Exchange -Learn how to use state-of-the-art deep learning models in your applications or services

Deploy model-serving microservices from the Model Asset Exchange on Red Hat OpenShift
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