November 2017

Autoscaling Deep Learning Training with Kubernetes

November 21, 2017 Nov 21, 2017 11/21/17

Rita Zhang

We explore how we worked with a customer to add autoscaling capability to a Kubernetes cluster to meet bursty demands for deep learning training in a cost-efficient manner.

Permissively-Licensed Named Entity Recognition on the JVM

November 20, 2017 Nov 20, 2017 11/20/17

Clemens Wolff

The ability to correctly identify entities, such as places, people, and organizations, adds a powerful level of natural language understanding to applications. This post introduces a MIT-licensed one-click deployment to Azure for web services that lets developers get started with a wide range of natural language tasks in 5 minutes or less, by consuming simple HTTP services for language identification, tokenization, part-of-speech-tagging and named entity recognition.

Building a Custom Spark Connector for Near Real-Time Speech-to-Text Transcription

November 1, 2017 Nov 1, 2017 11/1/17

Clemens Wolff

This post describes in detail the Azure Cognitive Services speech-to-text WebSocket protocol and shows how to implement the protocol in Java. This enables us to transcribe audio to text in near real-time. We then show how to feed the transcribed radio into a pipeline based on Spark Streaming for further analysis, augmentation, and aggregation. The Java client is reusable across a wide range of text-to-speech scenarios that require time-efficient speech-to-text transcription in more than 10 languages including English, French, Spanish, German and Chinese.

CSE Developer Blog

November 2017 - CSE Developer Blog

Autoscaling Deep Learning Training with Kubernetes

Permissively-Licensed Named Entity Recognition on the JVM

Building a Custom Spark Connector for Near Real-Time Speech-to-Text Transcription

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