Bayesian neural network generalised additive models
In recent years, neural networks (NNs) have gained wide and lasting traction as the machine learning architecture of choice in many contexts, due to its flexibility and ability to represent complex functions. However, in the context of a regression task, NNs face difficulties in interpretability and...
Saved in:
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2023
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/172098 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|