Hi!
Let me start with a big Thanks to my friends on [The Azure Group (Canada’s Azure User Community] for all the work and amazing time in my session [Artificial Intelligence and Machine Learning in Azure].
As usual, now it’s the share resources time. This one will be slides and tons of links, the source code was to basic to even push to GitHub
And some interesting links
- Cognitive Services
- Azure ML
- Deep Learning VMs
- Batch AI
- Windows ML
- What’s new in Azure for Machine Learning and AI
- Binary Classification: Twitter sentiment analysis
- What is happening to Workbench in Azure Machine Learning (preview)?
- Learn How to Deploy Machine Learning Models
- VS Code Tools for AI: Train and deploy ML models from VS Code
- Tutorial on Azure Machine Learning Notebook
- Machine learning algorithm cheat sheet for Azure Machine Learning Studio
- How the Azure Machine Learning service works: architecture and concepts
- Microsoft Build 2018 – What’s new with Azure Machine Learning
- Test Footage Of IBM’s Coffee Delivery Drones – CONAN on TBS
- Microsoft’s new “WSYP” Program
Windows 10 and YOLOV2 for Object Detection Series
- Introduction to YoloV2 for object detection
- Create a basic Windows10 App and use YoloV2 in the camera for object detection
- Transform YoloV2 output analysis to C# classes and display them in frames
- Resize YoloV2 output to support multiple formats and process and display frames per second
- How to convert Tiny-YoloV3 model in CoreML format to ONNX and use it in a Windows 10 App
Happy coding !
Greetings @ Burlington
El Bruno
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