ML.NET - Preparing data
November, 24
for custom model training using C#
17:00
Language: ru
Online
ML.NET is a robust framework for creating and using custom ML models. We will review how to train a custom model with ML.NET using the text data, inspect code pipelines involved with it. We will then switch to the computer vision realm, will prepare and feed new image training data to the YOLOv4 model enabling it to detect new classes of objects. You will also learn how to use Google Colab notebooks for machine learning tasks.
We will discover
Training custom YOLOv4 model with own data using Google Colab notebooks
ML.NET and computer vision – YOLOv4 recap
Using C# to prepare training data for custom ML models
ML.NET Training custom model – text example
Sign up if you are
.NET engineer of any leve
fan of ML or .NET
ML enthusiast
About the Speaker
Maksym Pavlov
Solutions Consultant at Ciklum
With 15 years of experience using .NET framework and Microsoft technology stack in general, Maksym has sharpened his skills on many projects as an Engineer, Application, and Solution Architect. Now Maksym is leading the .NET Unit.
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