IoT & Deep Learning on AWS

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The document outlines two demos of using AI and deep learning on AWS: 1) Using a Raspberry Pi, Amazon Echo, and various AWS services like Polly, Rekognition, and IoT to control a robot. 2) A demo of AWS DeepLens for image classification using pre-trained models. It also provides resources for further information on machine learning and deep learning on AWS.

Technology

IoT & Deep Learning
on AWS
Julien Simon, AI Evangelist, EMEA
@julsimon

What to expect
• Demo #1: AI with a Raspberry PI and an Amazon Echo
• Demo #2: AWS DeepLens
• Resources
• Q&A

Amazon
Polly
Amazon
Rekognition
AWS IoT
Device domain IoT domain Robot domain Internet domain
JohnnyPi/move
JohnnyPi/scan
JohnnyPi/speak
JohnnyPi/see
Skill
interfaceAmazon
Echo
Skill
service
Pre-trained
model for image
classification
Demo #1 – AI! IoT! Robots!

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Resources
https://aws.amazon.com/machine-learning
https://aws.amazon.com/blogs/ai
https://aws.amazon.com/deeplens/
https://mxnet.incubator.apache.org
https://github.com/apache/incubator-mxnet
https://github.com/gluon-api
https://medium.com/@julsimon
https://medium.com/@julsimon/johnny-pi-i-am-your-father-part-0-1eb537e5a36

Thank you!
Julien Simon, AI Evangelist, EMEA
@julsimon

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Presented by Vladimir Iglovikov: - https://www.linkedin.com/in/iglovikov/ - https://x.com/viglovikov - https://www.instagram.com/ternaus/ This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation. Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners. This case study covers various aspects, including: People: The contributors and community that have supported Albumentations. Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions. Challenges: The hurdles in monetizing open-source projects and measuring user engagement. Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration. Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community. Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations. Mental Health: Maintaining balance and not feeling pressured by user demands. Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth. Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects. Explore more about Albumentations and join the community at: GitHub: https://github.com/albumentations-team/albumentations Website: https://albumentations.ai/ LinkedIn: https://www.linkedin.com/company/100504475 Twitter: https://x.com/albumentations

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1. IoT & Deep Learning on AWS Julien Simon, AI Evangelist, EMEA @julsimon

2. What to expect • Demo #1: AI with a Raspberry PI and an Amazon Echo • Demo #2: AWS DeepLens • Resources • Q&A

3. Amazon Polly Amazon Rekognition AWS IoT Device domain IoT domain Robot domain Internet domain JohnnyPi/move JohnnyPi/scan JohnnyPi/speak JohnnyPi/see Skill interfaceAmazon Echo Skill service Pre-trained model for image classification Demo #1 – AI! IoT! Robots!

4. Demo #2 – AWS DeepLens

5. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Resources https://aws.amazon.com/machine-learning https://aws.amazon.com/blogs/ai https://aws.amazon.com/deeplens/ https://mxnet.incubator.apache.org https://github.com/apache/incubator-mxnet https://github.com/gluon-api https://medium.com/@julsimon https://medium.com/@julsimon/johnny-pi-i-am-your-father-part-0-1eb537e5a36

6. Thank you! Julien Simon, AI Evangelist, EMEA @julsimon

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