RubixML/CIFAR-10
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
This project helps you train a computer vision model to automatically identify objects in images, such as cars, cats, or airplanes. You provide a collection of images, and it outputs a trained model that can classify new images into predefined categories. This is ideal for anyone looking to build an image recognition system without deep technical machine learning expertise.
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Use this if you need to build a system that can automatically identify and categorize objects within images, given a dataset of example images.
Not ideal if you don't have a large dataset of labeled images or if your target environment is not PHP.
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59
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Language
PHP
License
MIT
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Last pushed
Jul 25, 2025
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