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    • Software and FPGA-Based Hardware to Accelerate Machine Learning Classifiers 

      Abdolrahim Poorheravi, Parisa (University of Waterloo, 2022-06-20)
      This thesis improves the accuracy and run-time of two selected machine learning algorithms, the first in software and the second on a field-programmable gate array (FPGA) device. We first implement triplet loss and triplet ...

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