Dendritic models using Perforated Backpropagation reach 0.933 test accuracy with 1500 parameters on keyword spotting, beating a baseline of 0.921 accuracy that needs roughly 4000 parameters.
Edge impulse: Machine learning for embedded systems
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Perforated Neural Networks for Keyword Spotting
Dendritic models using Perforated Backpropagation reach 0.933 test accuracy with 1500 parameters on keyword spotting, beating a baseline of 0.921 accuracy that needs roughly 4000 parameters.