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Quantized Neural Networks - networks trained for inference at arbitrary low precision.
A regularly updated comparison of CNN architectures in terms of accuracy, operations and model size
This is example code on how to train Binary Neural Networks that fit on the BinarEye chip
Forked from shicai/MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
Forked from foss-for-synopsys-dwc-arc-processors/synopsys-caffe-models
Caffe models for use with Synopsys DesignWare EV6x Processors
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