Deep Learning Using Tiny Domain-Specific Datasets with Sparse Labels

Deep Learning Using Tiny Domain-Specific Datasets with Sparse Labels

Machine learning is an ever-expanding field of research, and recently deep learning has been the architecture of choice. However, traditional deep learning methodologies require substantial amounts of data to train their networks. This requirement for large data means that there are large numbers of...

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Bibliographic Details
Main Author: Smith, Thomas J
Format: Thesis (University of Nottingham only)
Language:English
Published: 2021
Subjects:
Deep Learning
tiny datasets
CNN
Convolutional Neural Networks
domain-specific dataset
Semantic Segmentation
Superpixels
Deep learned Superpixels
Action Recognition
Online Access:https://eprints.nottingham.ac.uk/66094/

Internet

https://eprints.nottingham.ac.uk/66094/

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