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About Tutorial On Methods For Interpreting and Understanding Deep Neural Networks
The tutorial provides an overview of methods for interpreting and understanding deep neural networks, discussing techniques for making neural networks more transparent by explaining individual predictions and interpreting internal model representations. The tutorial is divided into three parts that cover introducing interpretability, techniques for interpreting models and explaining decisions, and applications and discussion.
Detailed Information
| Author: | ['陳奕禎'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 29 |
| Language: | English |
| Format: | |
| Price: | FREE |
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