Using Siamese Networks and Pre-Trained Convolutional Neural Networks (CNNs) for Fashion Similarity Matching

This post is co-authored by Erika Menezes, Software Engineer at Microsoft, and Chaitanya Kanitkar, Software Engineer at Twitter. This project was completed as part of the coursework for Stanford’s CS231n in Spring 2018. Ever seen someone wearing an interesting outfit and wonder where you could buy it yourself? You’re not alone – retailers world over… Read more

Enterprise Deployment Tips for Azure Data Science Virtual Machine (DSVM)

This post is authored by Gopi Kumar, Principal Program Manager at Microsoft. The Data Science Virtual Machine (DSVM), a popular VM image on the Azure marketplace, is a purpose-built cloud-based environment with a host of preconfigured data and AI tools. It enables data scientists and AI developers to iterate on developing high quality predictive models… Read more

Transfer Learning for Text using Deep Learning Virtual Machine (DLVM)

This post is by Anusua Trivedi, Data Scientist, and Wee Hyong Tok, Data Scientist Manager, at Microsoft. Motivation Modern machine learning models, especially deep neural networks, can often benefit quite significantly from transfer learning. In computer vision, deep convolutional neural networks trained on a large image classification datasets such as ImageNet have proved to be… Read more

Training State-of-the-Art Neural Networks in the Microsoft Azure Cloud

This is the third post in a three-part series by guest blogger, Adrian Rosebrock. Adrian writes at PyImageSearch.com about computer vision and deep learning using Python. He recently finished authoring a new book on deep learning for computer vision and image recognition. Introduction In the final part in this series, I want to address a question I received from… Read more

Pixel-Level Land Cover Classification Using the Geo AI Data Science Virtual Machine and Batch AI

This post was authored by Mary Wahl, Kolya Malkin, Siyu Yang, Patrick Flickinger, Wee Hyong Tok, Lucas Joppa, and Nebojsa Jojic, representing the Microsoft Research and AI for Earth teams. Last week Microsoft launched the Geo AI Data Science Virtual Machine (DSVM), an Azure VM type specially tailored to data scientists and analysts that manage… Read more

Introducing the Microsoft Machine Learning Server 9.3 Release

This post is authored by Nagesh Pabbisetty, Partner Director of Program Management at Microsoft. Thank you for your overwhelming response to Microsoft Machine Learning Server and SQL Server Machine Learning Services. We are humbled to see the millions of installs since we first launched Microsoft R Server in 2016, and the pace is only accelerating!… Read more

22 Minutes to 2nd Place in a Kaggle Competition, with Deep Learning & Azure

This post is the second in a three-part series by guest blogger, Adrian Rosebrock. Adrian writes at PyImageSearch.com about computer vision and deep learning using Python. He recently finished authoring a new book on deep learning for computer vision and image recognition. Introduction A few weeks ago I wrote a blog post on deep learning… Read more

Applying NLP in Sentiment Classification & Entity Recognition Using Azure ML and the Team Data Science Process

This post was co-authored by Muhammad Raza Khan & Akshay Mehra (both former interns), with Mohamed Abdel-Hady & Debraj GuhaThakurta (Senior Data Scientist Leads) and Wei Guo & Zoran Dzunic (Data Scientists) at Microsoft. We recently published two real-world scenarios demonstrating how to use Azure Machine Learning alongside the Team Data Science Process (TDSP) to… Read more

Hearing AI: Getting Started with Deep Learning for Audio on Azure

This post is authored by Xiaoyong Zhu, Program Manager, Max Kaznady, Senior Data Scientist, and Gilbert Hendry, Senior Data Scientist, at Microsoft. There are an increasing number of useful applications of machine learning and Artificial Intelligence in the domain of audio, such as in home surveillance (e.g. detecting glass breaking and alarm events); security (e.g. detecting… Read more

Deep Learning & Computer Vision in the Microsoft Azure Cloud

This is the first in a multi-part series by guest blogger Adrian Rosebrock. Adrian writes at PyImageSearch.com about computer vision and deep learning using Python, and he recently finished authoring a new book on deep learning for computer vision and image recognition. Introduction I had two goals when I set out to write my new… Read more