AWS Machine Learning Blog

Category: Java

Training and serving H2O models using Amazon SageMaker

Model training and serving steps are two essential pieces of a successful end-to-end machine learning (ML) pipeline. These two steps often require different software and hardware setups to provide the best mix for a production environment. Model training is optimized for a low-cost, feasible total run duration, scientific flexibility, and model interpretability objectives, whereas model […]

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Video streaming and deep learning: Using Amazon Kinesis Video Streams with Deep Java Library

Amazon Kinesis Video Streams allows you to easily ingest video data from connected devices for processing. One of the most effective ways to process this video data is using the power of deep learning. You can create an efficient service infrastructure to run these computations with a Java server, but Java support for deep learning […]

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