Dimensionality reduction in deep neural networks

• 主要作者: Wee, Keane Jin Yen
• 其他作者: Chew Lock Yue
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2025
• 主題: Physics; Deep neural networks; Curse of dimensionality; Dimensionality reduction techniques; Explainability
• 在線閱讀: https://hdl.handle.net/10356/184534

Deep Neural Networks (DNNs) are powerful Artificial Intelligence (AI) techniques that enable machines to learn complex patterns from high-dimensional data. Due to the increasing complexity of data points and parameters in the model, DNNs experience the curse of dimensionality, where the model's...