Microsoft has partnered with Getty Images to explore how Neural Nets could be used to transform the stock photo industry.
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.
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.
Creating an object detection model using Microsoft's open source deep learning framework CNTK and its implementation of Fast-RCNN.
Building a video tagging tool on top of CNTK to enable developers to create, review and iterate object detection models.
A wrapper for the Microsoft LUIS Cognitive Service that provides universal language support (after training) using the Cognitive Service Translation API.
Using Microsoft Cognitive Services Vision API Optical Character Recognition within Azure ML Studio to Predict Expense Type from Receipts.
A tutorial for building a real-time sensor anomaly detector for use in municipal wastewater treatment systems.
Based on a solution used in Cities Unlocked, developers can create great voice recognition and command execution on iOS using Cognitive Services and LUIS.
Using Microsoft Cognitive Services and LUIS to develop applications that leverage machine learning and speech recognition.
