Deployment of Pre-Trained Models on Azure Container Services

This post is authored by Mathew Salvaris, Ilia Karmanov and Jaya Mathew. Data scientists and engineers routinely encounter issues when moving their final functional software and code from their development environment (laptop, desktop) to a test environment, or from a staging environment to production. These difficulties primarily stem from differences between the underlying software environments… Read more

“Serving AI with Data” – Recap of the Microsoft AI Immersion Workshop

Artificial Intelligence is enjoying its day in the sun. AI-related articles are now routinely featured as front page news and the technology is being used in an ever growing variety of applications, including in conversational bots, autonomous vehicles, connected machines, in medical diagnosis and much more. AI is therefore of growing interest to millions of… Read more

End-to-End Scenarios Enabled by the Data Science Virtual Machine: Webinar Video

This post is authored by Barnam Bora, Program Manager in the Algorithms & Data Science team at Microsoft. Microsoft’s Data Science Virtual Machine (DSVM) is a family of popular VM images in Windows Server & Linux flavors that are published on the Microsoft Azure Marketplace. They have a curated but broad set of pre-configured machine… 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

Deep Learning on the New Ubuntu-Based Data Science Virtual Machine for Linux

Authored by Paul Shealy, Senior Software Engineer, and Gopi Kumar, Principal Program Manager, at Microsoft. Deep learning has received significant attention recently for its ability to create machine learning models with very high accuracy. It’s especially popular in image and speech recognition tasks, where the availability of massive datasets with rich information make it feasible… 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 Updates its Deep Learning Toolkit

This post is by Chris Basoglu, Partner Engineering Manager in the AI & Research group at Microsoft. We are delighted to announce that Microsoft has brought Microsoft Cognitive Toolkit version 2.0 out of beta and is making the first release candidate available today. The toolkit, previously known as CNTK, is a system for deep learning… Read more

Build & Deploy Machine Learning Apps on Big Data Platforms with Microsoft Linux Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager in the Data Group at Microsoft. This post covers our latest additions to the Microsoft Linux Data Science Virtual Machine (DSVM), a custom VM image on Azure, purpose-built for data science, deep learning and analytics. Offered in both Microsoft Windows and Linux editions, DSVM includes… 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