RENGA Inc. automates code reviews with Amazon CodeGuru

Favorite This guest post was authored by Kazuma Ohara, Director of RENGA Inc., and edited by Yumiko Kanasugi, Solutions Architect at AWS Japan. RENGA Inc. operates Mansion Note, one of Japan’s most popular condominium review and rating websites, which gets over a million unique visitors per month. Mansion Note provides

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Shared by AWS Machine Learning September 10, 2020

Automated monitoring of your machine learning models with Amazon SageMaker Model Monitor and sending predictions to human review workflows using Amazon A2I

Favorite When machine learning (ML) is deployed in production, monitoring the model is important for maintaining the quality of predictions. Although the statistical properties of the training data are known in advance, real-life data can gradually deviate over time and impact the prediction results of your model, a phenomenon known

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Shared by AWS Machine Learning September 10, 2020

Visualizing TensorFlow training jobs with TensorBoard

Favorite TensorBoard is an open-source toolkit for TensorFlow users that allows you to visualize a wide range of useful information about your model, from model graphs; to loss, accuracy, or custom metrics; to embedding projections, images, and histograms of weights and biases. This post demonstrates how to use TensorBoard with

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Shared by AWS Machine Learning September 9, 2020

Getting a batch job completion message from Amazon Translate

Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Neural machine translation is a form of language translation automation that uses deep learning models to deliver more accurate and natural-sounding translation than traditional statistical and rule-based translation algorithms. The translation service is

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Shared by AWS Machine Learning September 2, 2020

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