Microsoft Custom Vision: Creating an Image Classification Model
Creating a model to classify images would usually involve creating your own deep learning model from scratch. This includes having a very large and diverse set of training images with […]
Microsoft Custom Vision: Predict Images with C#
In the previous post, we showed how to train an image classification model using the Microsoft Custom Vision service as well as to perform a quick test on a new […]
Creating a Daemon with .NET Core (Part 2)
This little project is a practical implementation of a blog post I wrote about implementing daemons in .NET Core. This daemon is a .NET Core console app that is using […]
How to REALLY delete an Azure Active Directory B2C tenant
You probably landed here after feeling a little of the pain inherent in attempting to delete an Azure Active Directory B2C tenant. I have read several FAQ’s, How To’s, posts, […]
Evaluate Your Models with Cross Validation in ML.NET
Let’s say you’ve been working on a machine learning model and your initial evaluation on test data looks good but is that the same kind of performance you’ll get once […]
Creating a Daemon with .NET Core (Part 1)
Daemons are as essential to servers as caffeine and pizza are to developers. The executables run as services on a server waiting to receive input usually from a network call, […]
Save and Read Models in ML.NET
Often times you’ll be iterating on your model to try to get it to perform well with new data, so you’ll be training on it for each of those iterations. […]
Mastering Azure Network Addresses
If you’re working with Azure, you have to ensure you can make the most of the Azure networking infrastructure. Connecting resources — in the cloud or on-premise — relies on […]
Security Best Practices for Docker Images
Docker Hub is a blessing and a curse at times. It’s a great way to share Docker images to the public, but it can be used by hackers to sneak […]