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Machine Learning & Chicago Hot Dogs with a DeepRacer!

Chicago AWS User Group

Thursday, February 28, 2019 from 5:30 PM to 8:30 PM (CST)

Machine Learning & Chicago Hot Dogs with a DeepRacer!

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Attending 60 Registrations Feb 27, 2019 Free  

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Event Details

AWS DeepLens is "the world’s first deep learning enabled video camera for developers" and we're going to see it in action ...finding hot dogs. Based on the Silicon Valley tv show (that clip is nsfw) there is now an AWS DeepLens project that uses machine learning to classify your food as either hot dog or not a hot dog.

What could be more Chicago that classifying hot dogs? 

Join us for a demo of the AWS DeepLens and some Chicago style hot dogs from Portillo's!


5:30pm Welcome & *hot dogs* - your AWS organizers
5:45pm 5 min sponsor talks: PowerReviews
6:00pm  talks 

  • AWS DeepLens overview and a quick "hotdog/not hotdog" demo - Margaret Valterria, Solutions Engineer at Breakfree Solutions // @margaretvaltie

  • "Training Impossibly Huge Neural Networks on EC2 with Guild AI - Garrett Smith, Creator of Guild AI // @gar1t

  • "Developers, Start Your Engines - Hands on with AWS DeepRacer" - Michael Allen, CIO at Morningstar // @mikeoninfosec

7:45pm Networking with beers

Talk 1: AWS DeepLens overview and a quick "hotdog/not hotdog" demo

Hot Dog Recognition: The model takes the video stream from your AWS DeepLens device as input, and labels images as a hot dog or not a hot dog. The project uses a pretrained, optimized model that is ready to be deployed to your AWS DeepLens device. After deploying the model, you can use the Live View feature to watch as the model recognizes hot dogs.

Margaret Valterria is a Solutions Engineer at Breakfree Solutions // @margaretvaltie

Talk 2: "Training Impossibly Huge Neural Networks on EC2 with Guild AI"

Amazon EC2 is an incredible resource for training neural networks. In a flash you can get access to super computer capabilities, train your impossibly huge neural networks (to detect things like, hmm, is this object a Hot Dog, or is it NOT a Hot Dog?) In this talk, Garrett Smith, creator of the freely available, open source toolkit Guild AI, will demonstrate how easy it is to use EC2 to do work in deep learning that is otherwise impossible without huge investments in GPU servers.

Garrett Smith is the creator of Guild AI // @gar1t

Talk 3: "Developers, Start Your Engines - Hands on with AWS DeepRacer" 


Want to learn reinforcement learning but don't know where to start? Enter DeepRacer, a 1/18th scale radio-controlled four-wheel drive car by Amazon Web Services. DeepRacer includes a fully-configured cloud environment that you can use to train your Reinforcement Learning models. It takes advantage of the new Reinforcement Learning feature in Amazon SageMaker and also includes a 3D simulation environment powered by AWS RoboMaker. You can train an autonomous driving model against a collection of predefined race tracks included with the simulator and then evaluate them virtually or download them to a AWS DeepRacer car and verify performance in the real world. During this talk, we'll cover a quick overview of reinforcement learning, and an introduction to the car. We'll also talk about possible use cases and how to use it to train an entire global technology workforce.


We also have early access to an actual DeepRacer car (thanks Amazon)! It'll be on display for everyone to take a look at. Hopefully we'll even get it fired up for a quick demo drive.


Michael Allen is CIO at Morningstar and one of the Chicago Chapter of OWASP // @mikeoninfosec


Sponsors & hosts: PowerReviews



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Have questions about Machine Learning & Chicago Hot Dogs with a DeepRacer!? Contact Chicago AWS User Group
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When & Where

1 N Dearborn St
Chicago, IL 60602

Thursday, February 28, 2019 from 5:30 PM to 8:30 PM (CST)

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Chicago AWS User Group

The Chicago AWS user group has been around since 2009 and this incarnation has grown to 4,200+. We usually have 80-100 at each monthly event.

We hold evening events in the Loop during the week. We rotate host offices and topics but aim for consistent schedules of pizza/drinks up front, introductions and sponsor spots, 2 to 3 quality non-sales presentations, then wrap with q&a before the crowd dwindles around 8pm. 

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Note: We are not run by AWS, but frequently work with Amazon SAs and account reps. As a local community group we resepect our members' privacy and will never distribute personal details.


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