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Description:: Machine learning and deep learning have been proven successful across various scientific fields, such as computer vision, natural language processing, and recommendation systems. As models become more complex, with more parameters and intricate architectures, they can achieve higher prediction accuracy when trained on larger datasets. However, despite the great prediction...
Keyword:: Neural Network, Interpretable Machine Learning, and Function Visualization
Subject:: Statistics and Computational chemistry
Creator:: Zhang, Shengtong
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 08/23/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_995408 and http://dissertations.umi.com/northwestern:16632

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