Using Amazon Textract with AWS PrivateLink

Favorite Amazon Textract now supports Amazon Virtual Private Cloud (Amazon VPC) endpoints via AWS PrivateLink so you can securely initiate API calls to Amazon Textract from within your VPC and avoid using the public internet. In this post, we show you how to access Amazon Textract APIs from within your

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Shared by AWS Machine Learning September 1, 2020

How to run distributed training using Horovod and MXNet on AWS DL Containers and AWS  Deep Learning AMIs

Favorite Distributed training of large deep learning models has become an indispensable way of model training for computer vision (CV) and natural language processing (NLP) applications. Open source frameworks such as Horovod provide distributed training support to Apache MXNet, PyTorch, and TensorFlow. Converting your non-distributed Apache MXNet training script to

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Shared by AWS Machine Learning September 1, 2020

Building a customized recommender system in Amazon SageMaker

Favorite Recommender systems help you tailor customer experiences on online platforms. Amazon Personalize is an artificial intelligence and machine learning service that specializes in developing recommender system solutions. It automatically examines the data, performs feature and algorithm selection, optimizes the model based on your data, and deploys and hosts the

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Shared by AWS Machine Learning August 24, 2020

Relevance tuning with Amazon Kendra

Favorite Amazon Kendra is a highly accurate and easy-to-use enterprise search service powered by machine learning (ML). As your users begin to perform searches using Amazon Kendra, you can fine-tune which search results they receive. For example, you might want to prioritize results from certain data sources that are more

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Shared by AWS Machine Learning August 21, 2020