Join us for the "Practical Computer Vision with PyTorch and FiftyOne" workshop series. This is a 12-part, hands-on series that teaches you how to work with images, build and train models, and explore tasks like image classification, segmentation, object detection, and image generation. Each session combines straightforward explanations with practical coding in PyTorch and FiftyOne, allowing you to learn core skills in computer vision and apply them to real-world tasks.
In Part 3, we’ll focus on training feedforward networks and evaluating model performance. Learn about datasets, data loaders, and classification metrics, then apply these concepts by classifying breeds of dogs and analyzing outputs with FiftyOne.
These are hands-on maker workshops that make use of GitHub Codespaces, Kaggle notebooks, and Google Colab environments, so no local installation is required (though you are welcome to work locally if preferred!)
Learn more about FiftyOne: https://github.com/voxel51/fiftyone
Check out the calendar for upcoming computer vision events: https://voxel51.com/computer-vision-events/
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