Data augmentation and related opportunity cost for managing the contemporary data sparsity
This paper explored data augmentation as an alternative solution to the supervised data sparsity that has become a deeply rooted issue in machine learning projects. Convolutional Neural Network models with architecture resembling the ResNet Neural Network were trained on an augmented version of the...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för elektroteknik och datavetenskap (EECS)
2021
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301967 |