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

Want an Inside Track on the Very Latest in Data Science, Machine Learning & AI?

We have created a special two-day Data Science, Machine Learning, and AI Pass for Microsoft Ignite in Orlando, on September 25th and 26th, just for you! In addition to full access to all the sessions pertaining to these domains – such as the latest ML and deep learning techniques, open source tools, cognitive services APIs,… 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

Machine Learning for Developers – How to Build Intelligent Apps & Services

This post is authored by Daniel Grecoe, Senior Software Engineer at Microsoft. There’s a lot of talk about machine learning these days and how it will transform applications and services. Most of it is right on target: ML is definitely changing the way certain computing tasks will be implemented in the future, why wouldn’t it?… Read more

Introducing the new Data Science Virtual Machine on Windows Server 2016

This post is authored by Udayan Kumar, Software Engineer at Microsoft. We are excited to offer a Windows Server 2016 version of our very popular Microsoft Azure Data Science Virtual Machine (DSVM). This new DSVM version is based on the latest Windows Server 2016 Data Center edition. We’ve added new tools and upgraded existing tools… Read more

GA of Cognitive Toolkit 2.0 – Microsoft’s Open Source, Enterprise-Ready, TensorFlow-Outperforming AI Toolkit

Re-posted from the Microsoft Next blog and the Cognitive Toolkit blog. We’re excited to announce the general availability of Cognitive Toolkit 2.0, Microsoft’s open source, enterprise-ready, production-grade AI offering. Cognitive Toolkit allows users to create, train, and evaluate their own neural networks that can then scale efficiently across multiple GPUs and machines on massive data… Read more

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