#313: WhereML - Using ML to Detect Locations via Twitter episode artwork

EPISODE · May 19, 2019 · 28 MIN

#313: WhereML - Using ML to Detect Locations via Twitter

from AWS Podcast · host Amazon Web Services

Simon speaks with Randall Hunt about how he designed, built, and deployed the @WhereML Twitter bot that can identify where in the world a picture was taken using only the pixels in the image. We’ll dive deep on artificial intelligence and deep learning with the MXNet framework and also talk about working with the Twitter Account Activity API. The bot is entirely autoscaling and powered by Amazon API Gateway and AWS Lambda which means, as a customer, you don’t manage any infrastructure. Finally we’ll close with a discussion around custom authorizers in API Gateway and when to use them. https://github.com/ranman/WhereML

Simon speaks with Randall Hunt about how he designed, built, and deployed the @WhereML Twitter bot that can identify where in the world a picture was taken using only the pixels in the image. We’ll dive deep on artificial intelligence and deep learning with the MXNet framework and also talk about working with the Twitter Account Activity API. The bot is entirely autoscaling and powered by Amazon API Gateway and AWS Lambda which means, as a customer, you don’t manage any infrastructure. Finally we’ll close with a discussion around custom authorizers in API Gateway and when to use them. https://github.com/ranman/WhereML

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#313: WhereML - Using ML to Detect Locations via Twitter

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Simon speaks with Randall Hunt about how he designed, built, and deployed the @WhereML Twitter bot that can identify where in the world a picture was taken using only the pixels in the image. We’ll dive deep on artificial intelligence and deep...

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