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

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

Deep Learning Made Easy in Azure

This post was authored by Anusua Trivedi, Data Scientist, Microsoft and Jamie Olson, Analytics Solution Architect, Microsoft Deep learning is an exciting new space for predictive modeling and machine learning and I’ve previously written about a variety of different models and tools in my previous blogs.  However, it can be intimidating to get started and… Read more

New Additions to the Data Science Virtual Machine – Test Drive, Community Forums, Deep Learning

This post is authored by Paul Shealy, Senior Software Engineer, and Barnam Bora, Program Manager, at Microsoft. The Data Science Virtual Machine (DSVM) is a custom virtual machine image from Microsoft that comes pre-installed with popular data science tools for modeling and development activities. The DSVM is offered in both Windows and Linux editions. There’s… Read more

How to Train a Deep-Learned Object Detection Model in the Microsoft Cognitive Toolkit

This post is authored by Patrick Buehler, Senior Data Scientist, and T. J. Hazen, Principal Data Scientist, at Microsoft. Last month we published a blog post describing our work on using computer vision to detect grocery items in refrigerators. This was achieved by adding object detection capability, based on deep learning, to the Open Source… Read more