Music Generation with Azure Machine Learning

This post is authored by Erika Menezes, Software Engineer at Microsoft. Using deep learning to learn feature representations from near-raw input has been shown to outperform traditional task-specific feature engineering in multiple domains in several situations, including in object recognition, speech recognition and text classification. With the recent advancements in neural networks, deep learning has… Read more

How to Train & Serve Deep Learning Models at Scale, Using Cognitive Toolkit with Kubernetes on Azure

This post is authored by Wee Hyong Tok, Principal Data Science Manager at Microsoft. Deep Learning has fueled the emergence of many practical applications and experiences. It has played a central role in making many recent breakthroughs possible, ranging from speech recognition that’s reached human parity in word recognition during conversations, to neural networks that… Read more

A New Real-Time AI Platform from Microsoft, and a Speech Recognition Milestone

Re-posted from the Microsoft Research blog. Microsoft had a couple of major AI -related announcements earlier this week, summarized below. Project Brainwave, for Real-Time AI Microsoft unveiled Project Brainwave earlier this week. A new deep learning acceleration platform, Project Brainwave represents a big leap forward in performance and flexibility for serving cloud-based deep learning models…. Read more

Saving Snow Leopards with Deep Learning and Computer Vision on Spark

This post is authored by Mark Hamilton, Software Engineer at Microsoft, Rhetick Sengupta, President of Snow Leopard Trust, and Principal Program Manager at Microsoft, and Roope Astala, Senior Program Manager at Microsoft. The Snow Leopard – A Highly Endangered Animal Snow leopards are highly endangered animals that inhabit high-altitude steppes and mountainous terrain in Asia… Read more

Announcing Microsoft Machine Learning Library for Apache Spark

This post is authored by Roope Astala, Senior Program Manager, and Sudarshan Raghunathan, Principal Software Engineering Manager, at Microsoft. We’re excited to announce the Microsoft Machine Learning library for Apache Spark – a library designed to make data scientists more productive on Spark, increase the rate of experimentation, and leverage cutting-edge machine learning techniques –… Read more

Using Microsoft’s Deep Learning Toolkit with Spark on Azure HDInsight Clusters

This post is authored by Miruna Oprescu, Software Engineer, and Mary Wahl, Data Scientist at Microsoft Have you ever wondered what it would be like to combine the power of deep learning with the scalability of distributed computing? Say no more! We present a solution that uses leading-edge technologies to score images using a pre-trained… Read more

Embarrassingly Parallel Image Classification, Using Cognitive Toolkit and TensorFlow on Azure HDInsight Spark

This post is by Mary Wahl, Data Scientist, T.J. Hazen, Principal Data Scientist Manager, Miruna Oprescu, Software Engineer, and Sudarshan Raghunathan, Principal Software Engineering Manager, at Microsoft. Summary Deep neural networks (DNNs) are extraordinarily versatile and increasingly popular machine learning models that require significantly more time and computational resources for execution than traditional approaches. By… Read more

Free AI Immersion Workshop on May 9th in Seattle – Register Now!

We are excited to announce that registration for the Microsoft AI Immersion Workshop is now open to all developers. The Workshop is being held on Tuesday, May 9th, at the W Hotel in Seattle. This is a free in-person event, but capacity is limited – so register now to reserve your spot. This is a… Read more

Microsoft AI Immersion Workshop in Seattle – May 9th, 2017

The Microsoft AI Immersion Workshop, to be held in Seattle on May 9th, 2017, is a FREE pre-event to Microsoft Build 2017. The Workshop is a special opportunity for advanced developers interested in creating the next generation of intelligent apps, including enterprise-grade solutions, that use the very latest AI and Machine Learning techniques. Experienced Microsoft… Read more

Quick-Start Guide to the Data Science Bowl Lung Cancer Detection Challenge, Using Deep Learning, Microsoft Cognitive Toolkit and Azure GPU VMs

This post is by Miguel Fierro, Data Scientist, Ye Xing, Senior Data Scientist, and Tao Wu, Principal Data Scientist Manager, all at Microsoft. Since its launch in mid-January, the Data Science Bowl Lung Cancer Detection Competition has attracted more than 1,000 submissions. To be successful in this competition, data scientists need to be able to… Read more