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A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation for Efficient Hardware Acceleration on Edge Devices

accelerationaccuracydeep-learningefficient-inferencefixed-point-arithmeticmixed-precisionmodel-compressionneural-networksquantizationresource-constrained-devices
Erstellungszeit：2021-08-26T07:09:27
Aktualisierungszeit：2021-12-10T18:19:48
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