AWS AI Blog

Guy Ernest

Author: Guy Ernest

AWS DeepLens Extensions: Build Your Own Project

AWS DeepLens provides a great opportunity to learn new technologies, such as deep learning and Internet of Things (IoT), as well as to build innovative systems that can solve real-world problems. The device and service comes with a set of predefined projects that make it easy to hit the ground running. It is designed as […]

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Customize and Display AWS DeepLens Project Output on Your Laptop

by Guy Ernest and Sunil Mallya | on | in AWS DeepLens | Permalink | Comments |  Share

AWS DeepLens is a deep-learning-enabled developer toolkit with a video camera. It enables you to develop machine learning skills using hands-on computer vision tutorials, pre-built models and allows you to extend them. Examples of pre-built models include object detection to recognize and detect different objects in your room such as TV monitors, people and bottles, […]

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Extend AWS DeepLens to Send SMS Notifications with AWS Lambda

AWS DeepLens is a deep learning enabled developer toolkit with a video camera. It enables you to develop machine learning skills using hands-on computer vision tutorials, pre-built models and allows you to extend them. This blog post explains how to extend the local functionality of DeepLens with cloud functionality using the AWS IoT Rule Engine […]

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Combining Deep Learning Networks (GAN and Siamese) to Generate High-Quality, Life-Like Images

by Guy Ernest | on | Permalink | Comments |  Share

Because deep learning relies on the amount and quality of the data that is used to train it, companies spend a lot to get good image data. Typically, they use either expensive human annotation or other labor-intensive tasks, such as taking more photos of products or people. This approach is costly, and it doesn’t scale. […]

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A/B Testing at Scale – Amazon Machine Learning Research

by Guy Ernest | on | Permalink | Comments |  Share

This week, Amazon presented an academic paper at KDD 2017, the prestigious machine learning and big data conference. The paper shows Amazon’s research into tools that help us measure customers’ satisfaction and better learn how we can implement ideas that delight them. Specifically, we show an efficient bandit algorithm for multivariate testing, where one seeks […]

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