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Showing 1 to 1 of 1 for “"Learnable Activation"”.
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Hardware software co-design of machine learning accelerators using univariate functions
As neural networks grow in complexity, efficient hardware-software co-design is crucial for balancing performance and resource constraints, especially for edge devices and FPGA accelerators. This thesis investigates optimization techniques for hardware-awaretraining and model compression using …