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This document discusses the structure and performance of Deep Neural Networks (DNNs) for Acoustic Event Detection (AED), highlighting that more hidden layers do not always lead to better results. It also explains activation functions, particularly the Rectified Linear Unit (ReLU), its advantages and disadvantages, and introduces variations like Leaky ReLU and Exponential Linear Unit (ELU). The document emphasizes the importance of activation functions in enabling neural networks to learn complex patterns an

Author

HK

Language

EN