Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162869
Title: Visualizing interpretations of deep neural networks
Authors: Tan, Ryan Kang Wei
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Tan, R. K. W. (2022). Visualizing interpretations of deep neural networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162869
Project: SCSE21-0760
Abstract: Deep neural networks are notoriously black boxes that defy human interpretations. The lack of understanding of the decision process of neural networks erode public trust and prevent wide application of AI. In this project, we will develop a set of tools that visualize interpretations of deep neural networks, so that the general public can intuitively understand how these networks make decisions. For example, for a given prediction made by the network, we can visualize how data points in the training set affect the prediction.
URI: https://hdl.handle.net/10356/162869
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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