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西北工业大学 国内
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Deterministic Convergence Analysis for GRU Networks via Smoothing Regularization
Qian Zhu, Qian Kang, Tao Xu,
Dengxiu Yu
,
Zhen Wang
光电与智能研究院
网络空间安全学院
Northwestern Polytechnical University Xian
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探究 'Deterministic Convergence Analysis for GRU Networks via Smoothing Regularization' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Gated Recurrent Unit
100%
Regularization
100%
Mathematical Convergence
100%
Gated Recurrent Unit Network
100%
Recurrent Neural Network
28%
Error Function
28%
Approximation (Algorithm)
14%
Training Data
14%
Baseline Model
14%
Sparsity
14%
Function Approximation
14%
Energy Efficiency
14%
Computational Efficiency
14%
Regression Task
14%
Long Short-Term Memory Network
14%
Neural Network Training
14%
Fixed Point
14%
Weak Convergence
14%
Mathematics
Key Property
20%
Approach Infinity
20%