cair/fast-tsetlin-machine-with-mnist-demo
A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
This project offers a highly efficient method for image recognition and pattern detection. It takes in binarized images or other binary data and rapidly classifies them into predefined categories. Researchers and machine learning practitioners focused on performance-critical applications would find this beneficial.
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Use this if you need extremely fast classification and learning with a small memory footprint for binary pattern recognition tasks.
Not ideal if your data is not already binarized or if you prefer deep learning models that handle complex, continuous data directly without manual binarization.
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Language
C
License
MIT
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Last pushed
Aug 16, 2019
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