Where is the best place to store knowledge?

Favorite Where should knowledge be stored? There are many answers to this question!  A common answer is to say that knowledge should be stored in people’s heads, and some would argue that knowledge exists ONLY in human heads. That’s not an argument I want to get into, and for the

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Shared by Nick Milton June 1, 2021

Host multiple TensorFlow computer vision models using Amazon SageMaker multi-model endpoints

Favorite Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker accelerates innovation within your organization by providing purpose-built tools for every step of ML development, including labeling, data preparation,

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Shared by AWS Machine Learning May 26, 2021

How Contentsquare reduced TensorFlow inference latency with TensorFlow Serving on Amazon SageMaker

Favorite In this post, we present the results of a model serving experiment made by Contentsquare scientists with an innovative DL model trained to analyze HTML documents. We show how the Amazon SageMaker TensorFlow Serving solution helped Contentsquare address several serving challenges. Contentsquare’s challenge Contentsquare is a fast-growing French technology

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Shared by AWS Machine Learning May 26, 2021

Your Guide to the AWS Machine Learning Summit

Favorite We’re about a week away from the AWS Machine Learning Summit and if you haven’t registered yet, you better get on it! On June 2, 2021 (Americas) and June 3, 2021 (Asia-Pacific, Japan, Europe, Middle East, and Africa), don’t miss the opportunity to hear from some of the brightest

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Shared by AWS Machine Learning May 25, 2021