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[Research] The Convolutional Tsetlin Machine peaks at 99.51% accuracy on MNIST with a single layer of interpretable filters in propositional logic.

[Research] The Convolutional Tsetlin Machine peaks at 99.51% accuracy on MNIST with a single layer of interpretable filters in propositional logic.

Finally completed the Convolutional Tsetlin Machine. It turned out that the simplest design worked best. I use the conjunctive clauses of the Tsetlin Machine as filters, and the OR operation to calculate the output of each convolution. https://arxiv.org/abs/1905.09688

https://i.redd.it/jvj55zqhg3031.png

submitted by /u/olegranmo
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.