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[abshej]

Spatial Pooler Implementation for MNIST Dataset

Summary I implemented a spatial pooler (S.P.) and Maximal Likelihood classifier and used them to achieve 77% accuracy on the MNIST dataset. My implementation differs in a few ways from Numenta’s. The code and figures are available at: https://github.com/ctrl-z-9000-times/HTM_experiments It is written in python3. Test Methods I trained the S.P. for 60,000 cycles on the MNIST training data. There are 60,000 samples of training data. I used synthetic training data. I applied random rotation…

https://github.com/numenta/nupic.vision/tree/master/src/nupic/vision/mnist