Showing results for Machine Learning - ISE Developer Blog

Oct 24, 2017
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Bird Detection with Azure ML Workbench

Olga Liakhovich
Olga Liakhovich

We demonstrate how to train Object Detection models using CNTK and Tensoflow DNN frameworks. Azure ML Workbench is used as the main training and model hosting infrastructure.

Machine LearningDevOpsContainers
Aug 7, 2017
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Developing a Custom Search Engine for an Expert Chat System

Mona Soliman Habib
Mona Soliman Habib

We address the challenge of creating a custom search experience for a specific domain area. We also provide a guide for creating your own custom search experience by leveraging Azure Search and Cognitive Services and sharing custom code for iterative testing, measurement and indexer redeployment.

Machine LearningBotsCognitive Services
Jul 5, 2017
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Automating Receipt Processing

CY Yam
CY Yam

Claiming expenses is usually a manual process. This project aims to improve the efficiency of receipt processing by looking into ways to automate this process.  This code story describes how we created a skeletal framework to achieve the following: We found a few challenges in addressing these goals. For instance, the quality of...

Machine LearningDevOpsCognitive Services
Jul 1, 2017
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Building an Image Classification Pipeline Using Serverless Architecture

Jason Fox
Jason Fox

We collaborated on an image classification pipeline to perform automatic face detection and matching using machine learning via Microsoft Cognitive Services Face API. Our project was built with Azure Functions to process images using message queues.

Machine LearningAzure App Services
May 12, 2017
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Food Classification with Custom Vision Service

Olga Liakhovich
Olga Liakhovich

How we created an app to identify foods and their nutritional content by using the new Custom Vision Service to leverage domain-specific image recognition powered by DNNs.

Machine Learning
May 10, 2017
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Classifying Leaks Using Cognitive Toolkit

Michael Lanzetta
Michael Lanzetta

We use Deep Learning to turn a painful and time-consuming leak-detection task for water and oil pipelines into a fast, painless process. Using Python and Fast Fourier Transforms, we turn audio sensor data into images, then use Convolutional Neural Networks to detect and classify pipeline anomalies.

Machine Learning
Apr 10, 2017
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Object Detection Using Microsoft CNTK

Nadav Bar
Nadav Bar

Creating an object detection model using Microsoft's open source deep learning framework CNTK and its implementation of Fast-RCNN.

Machine Learning