Preventing catastrophic forgetting in continual learning

Continual learning in neural networks has been receiving increased interest due to how prevalent machine learning is in an increasing number of industries. Catastrophic forgetting, which is when a model forgets old tasks upon learning new tasks, is still a major roadblock in allowing neural netwo...

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Bibliographic Details
Main Author: Ong, Yi Shen
Other Authors: Lin Guosheng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/162924
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Institution: Nanyang Technological University
Language: English