
NeuraLUT proposes a novel approach to hide dense sub-networks in L-LUTs, improving function expressivity and reducing latency. By incorporating skip connections, challenges like vanishing gradients are mitigated, enabling efficient training of deeper sub-networks.


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NeuraLUT-Enhancing-FPGA-Acceleration-for-Neural-Networks


NeuraLUT: Enhancing FPGA Acceleration for Neural Networks


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FPGAアクセラレータを使用して、ニューラルネットワークの密度を隠す新しい手法NeuraLUTが提案されました。


neuralut-hiding-neural-network-density-in-boolean-synthesizable-functions


NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions
