Visualizing interpretations of deep neural networks
The evolution of Convolutional Neural Networks and new approaches like Vision Transformers has led to better performance in computer vision. However, deep neural networks lack transparency and interpretability, leading to consequences in critical applications. Visualizing deep neural network interpr...
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Main Author: | Ta, Quynh Nga |
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Other Authors: | Li Boyang |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/166663 |
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Institution: | Nanyang Technological University |
Language: | English |
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