Show HN: Low-rank approximation for 3x3 FPGA convolutions (33% less DSP usage)
el_dockerr Tuesday, February 17, 2026
Summary
The article discusses the use of low-rank hardware approximation techniques to improve the efficiency of deep learning models. It explores how these techniques can reduce model complexity and memory footprint without significantly impacting model accuracy.
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Summary
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