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I had the honor to be a guest at the dotnetFlix channel, hosted by Sander Molenkamp and Edwin van Wijk.
I share more on the techniques, frameworks and libraries I have used and I finish with a demonstration of the finished application.

As there was so much to share, it did not fit in a single episode, so we recorded three parts!

In my previous post, I shared that I would be speaking about getting Xbox achievements using Machine Learning at the .NET Virtual Conference and the dotNed user group.

In the meantime, I had the honor to be a guest at the dotnetFlix channel, hosted by Sander Molenkamp and Edwin van Wijk.
I share more on the techniques, frameworks and libraries I have used like EmguCV, EPPlus and ML.NET. I end with a short demonstration of the running application.

As there was so much to share, it did not fit in a single episode. So, we recorded three!

read more...
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A couple of my recent articles were about machine learning and image classification in C#. These posts were the results of a pet project on which I was working. I will be speaking about this project at a couple of events in the coming weeks.

A couple of my recent articles were about machine learning and image classification in C#. These posts were the results of a pet project on which I was working. I will be speaking about this project at a couple of events in the coming weeks.

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Recently I wrote an article about getting all prediction scores from your ML.NET model. So, when we want to do this for an ONNX model we have loaded with ML.NET, that should work the same, right?

Not really. Depending on the version of ML.NET, the datatypes of the downloaded Azure Custom Vision ONNX model are very hard to map on the .NET datatypes we use.

In this article I will show how we can get the labels and scores from an ONNX model prediction in C#.

Recently I wrote an article about getting all prediction scores from your ML.NET model. So, when we want to do this for an ONNX model we have loaded with ML.NET, that should work the same, right?

Not really. Depending on the version of ML.NET, the datatypes of the downloaded Azure Custom Vision ONNX model are very hard to map on the .NET datatypes we use.

In this article I will show how we can get the labels and scores from an ONNX model prediction in C#.

read more...
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When predicting with an ML.NET model you trained yourself, you might be interested in just more than the highest scoring label. But how do you get the other labels and their corresponding scores?

In this article I will show how to you can get these values.

When predicting with an ML.NET model you trained yourself, you might be interested in just more than the highest scoring label. But how do you get the other labels and their corresponding scores?

In this article I will show how to you can get these values.

read more...
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YAML is a data serialization standard that is intended to be human friendly. For example, it reduces the use of delimiters quite drastically compared to other formats like JSON.

Some YAML file authors might push the boundary for readability even further by having a property where the value can be a sequence with zero or more values, or just a scalar if there is only a single value. Reducing the number of delimiters someone has to read or write even further.

How can this work with C#, a strongly typed language?

YAML is a data serialization standard that is intended to be human friendly. For example, it reduces the use of delimiters quite drastically compared to other formats like JSON.

Some YAML file authors might push the boundary for readability even further by having a property where the value can be a sequence with zero or more values, or just a scalar if there is only a single value. Reducing the number of delimiters someone has to read or write even further.

How can this work with C#, a strongly typed language?

read more...
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