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Data to support the MPhil Thesis: Towards an understanding of generalisation in deep learning: an analysis of the transformation of information in convolutional neural networks

Data to support the MPhil Thesis: Towards an understanding of generalisation in deep learning: an analysis of the transformation of information in convolutional neural networks
Data to support the MPhil Thesis: Towards an understanding of generalisation in deep learning: an analysis of the transformation of information in convolutional neural networks
Full results of simulations detailed in thesis, Belcher, D 2025, 'Towards an understanding of generalisation in deep learning: an analysis of the transformation of information in convolutional neural networks', Master of Philosophy, University of Southampton, Southampton, UK. This dataset is the results of the simulations detailed in the above thesis. All results are in jsonlines format. No specialist software is required to read this data, any software for parsing json or jsonlines data is sufficient.
University of Southampton
Belcher, Dominic
3ab2a3bc-8594-4eee-ae21-2df69a8d1721
Belcher, Dominic
3ab2a3bc-8594-4eee-ae21-2df69a8d1721

Belcher, Dominic (2025) Data to support the MPhil Thesis: Towards an understanding of generalisation in deep learning: an analysis of the transformation of information in convolutional neural networks. University of Southampton doi:10.5258/SOTON/D3540 [Dataset]

Record type: Dataset

Abstract

Full results of simulations detailed in thesis, Belcher, D 2025, 'Towards an understanding of generalisation in deep learning: an analysis of the transformation of information in convolutional neural networks', Master of Philosophy, University of Southampton, Southampton, UK. This dataset is the results of the simulations detailed in the above thesis. All results are in jsonlines format. No specialist software is required to read this data, any software for parsing json or jsonlines data is sufficient.

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thesis_data.tar.gz - Dataset
Available under License Creative Commons Attribution.
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README - Other
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More information

Published date: 2025
Learn more about School of Electronics and Computer Science research

Identifiers

Local EPrints ID: 502030
URI: http://eprints.soton.ac.uk/id/eprint/502030
DOI: doi:10.5258/SOTON/D3540
PURE UUID: 8b70fd10-1a0d-43c3-a8c8-5247335ee4d2

Catalogue record

Date deposited: 13 Jun 2025 17:20
Last modified: 13 Jun 2025 17:38

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Contributors

Creator: Dominic Belcher

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