क्यूआर कोड

AReLU: Agile Rectified Linear Unit for Improving Lightweight Convolutional Neural Networks

Dynamic activation functions usually gain remarkable improvements for neural networks. Dynamic activation functions depending on input features show better performance than the input-independents. But the improvements are achieved with extra memory and computational cost, which is non-negligible for...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Fu Chen, Yepeng Guan
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: IEEE 2025-01-01
श्रृंखला:IEEE Access
विषय:
Neural network
dynamic activation function
learnable activation function
lightweight CNN
ऑनलाइन पहुंच:https://ieeexplore.ieee.org/document/10843665/
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