Transfer Learning from Deep Neural Networks for Predicting Student Performance
Transferring knowledge from one domain to another has gained a lot of attention among scientists in recent years. Transfer learning is a machine learning approach aiming to exploit the knowledge retrieved from one problem for improving the predictive performance of a learning model for a different b...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/6/2145 |