Scripts and Data for "Towards a phenomenological understanding of neural networks: data" (doi:10.18419/darus-3691)

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Part 2: Study Description
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Document Description

Citation

Title:

Scripts and Data for "Towards a phenomenological understanding of neural networks: data"

Identification Number:

doi:10.18419/darus-3691

Distributor:

DaRUS

Date of Distribution:

2023-08-24

Version:

1

Bibliographic Citation:

Tovey, Samuel; Krippendorf, Sven; Nikolaou, Konstantin; Holm, Christian, 2023, "Scripts and Data for "Towards a phenomenological understanding of neural networks: data"", https://doi.org/10.18419/darus-3691, DaRUS, V1

Study Description

Citation

Title:

Scripts and Data for "Towards a phenomenological understanding of neural networks: data"

Identification Number:

doi:10.18419/darus-3691

Authoring Entity:

Tovey, Samuel (Universität Stuttgart)

Krippendorf, Sven (LMU Munich)

Nikolaou, Konstantin (Universität Stuttgart)

Holm, Christian (Universität Stuttgart)

Distributor:

DaRUS

Access Authority:

Tovey, Samuel

Depositor:

Tovey, Samuel

Date of Deposit:

2023-08-22

Holdings Information:

https://doi.org/10.18419/darus-3691

Study Scope

Keywords:

Computer and Information Science, Physics, Neural Tangent Kernel, Statistical Physics of Neural Networks

Abstract:

Data and scripts to reproduce the plots in the paper. Data is separated into two directories: <ul> <li> Surfaces: All data for rebuilding the surfaces</li> <li> rnd-plots: Data to reproduce the rnd plots</li> </ul> The scripts, once run, will produce the plots in the paper.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Tovey, S. J. et al. (2023) ‘Towards a phenomenological understanding of neural networks: data’, Machine Learning: Science and Technology.

Identification Number:

10.1088/2632-2153/acf099

Bibliographic Citation:

Tovey, S. J. et al. (2023) ‘Towards a phenomenological understanding of neural networks: data’, Machine Learning: Science and Technology.

Other Study-Related Materials

Label:

mlst_data_upload.tar.gz

Notes:

application/gzip