What’s New in ML.NET 2.0
Jon Wood provides a brief overview of what is included in the ML.NET 2.0 release.
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Machine Learning for .NET Developers
ML.NET is an open-source, cross-platform machine learning framework for .NET. In this session, attendees will learn how ML.NET empowers .NET users to train, consume, and deploy machine learning models to their existing .NET applications using their favorite tools and languages. Through various live demos, attendees will learn how to train custom machine learning models using […]
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Building an Object Detection Model with the ML.NET Model Builder
In this video, Jon Wood shows us how to use the VoTT (Visual Object Tagging Tool) to generate data and use it in Model Builder to get an object detection model.
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Deep Learning Plans in ML.NET
In this video, Jon Wood outlines and explains the plans for ML.NET.
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Jonathan Wood on F#, ML.NET, and Functional Programming
In this episode which was recorded via livestream, Frank speaks with Jon Wood to chat about f sharp, ML dot net, and functional programming.To participate in the live Q&A, make sure you follow Data Driven on the appropriate social media channels. Press the play button below to listen here or visit the show page at […]
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ML.NET June 2021 Update
Jon Wood highlights the latest updates to ML.NET.
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Jon Wood Announces New ML.NET Course
As I mentioned on a recent livestream, Jon Wood has a new ML.NET course on LinkedIn Learning!
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Use ML.NET to Score a Tensorflow Text Classification Model
Jon Wood recently streamed how to go over how to use a pre-trained TensorFlow model to predict sentiment within ML.NET.
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How to Build the ML.NET Repository
Jon Wood shows us how you can fork the ML.NET code and get it to build successfully so you can eventually contribute to it.
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