DeepLens: Machine Learning & Chicago Hot Dogs

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Feb 28th Chicago AWS user group event on Machine Learning & Chicago Hot Dogs AWS DeepLens overview and a quick "hotdog/not hotdog" demo - Margaret Valterria, Program Manager at Morningstar // @margaretvaltie 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.
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  • 1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Margaret Valtierra AWS DeepLens: A New Way to Learn Machine Learning Chicago AWS user group @margaretvaltie
  • 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Now, let’s see it in action…. @margaretvaltie
  • 3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie
  • 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie * Amazon SageMaker Ground Truth * Amazon SageMaker Neo * TensorFlow on AWS * Textract * Personalize * Forecast Slightly outdated AWS ML service stack
  • 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 1. MACHINE LEARNING OVERVIEW @margaretvaltie
  • 6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 5 second history of deep learning Artificial Intelligence (AI) Machine Learning (ML) Deep Learning @margaretvaltie
  • 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Model training Inference OVERVIEW OF DEEP LEARNING Data @margaretvaltie
  • 8. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. DATA Annotate Preprocess Data split @margaretvaltie
  • 9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 2. DEEPLENS OVERVIEW @margaretvaltie
  • 10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Build -> Deploy -> Predict @margaretvaltie
  • 11. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie
  • 12. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie
  • 13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie
  • 14. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie
  • 15. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Predicting IRL with DeepLens @margaretvaltie
  • 16. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Journey through a DeepLens @margaretvaltie
  • 17. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie
  • 18. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. @margaretvaltie
  • 19. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Chicago DeepLens Projects
  • 20. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Questions? @margaretvaltie DeepLens Library
  • 21. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Resources
  • 22. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Watch the demo: https://youtu.be/2oMGkWc46Lw
  • 23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. DEEPLENS SPECIFICATIONS • Intel Atom Processor • Gen9 graphics • Ubuntu OS- 16.04 LTS • 100 GFLOPS performance • Dual band Wi-Fi • 8 GB RAM • 16 GB Storage (eMMC) • 32 GB SD card • 4 MP camera with MJPEG • H.264 encoding at 1080p resolution • 2 USB ports • Micro HDMI • Audio out • AWS Greengrass preconfigured • clDNN Optimized for MXNet @margaretvaltie
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