Data files needed to run reactive Pluto notebook to train image classifier
doi:10.4121/9fb86a9d-99c4-4647-8242-9d926574d904.v1
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doi: 10.4121/9fb86a9d-99c4-4647-8242-9d926574d904
doi: 10.4121/9fb86a9d-99c4-4647-8242-9d926574d904
Datacite citation style:
Batselier, K. (Kim) (2024): Data files needed to run reactive Pluto notebook to train image classifier. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9fb86a9d-99c4-4647-8242-9d926574d904.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Two CSV files with 10,000 random training and test samples each of MNIST data (28 x 28 images of handwritten digits). These files are required to reproduce the results of Experiment 3 in the article "Constructing structured tensor priors for Bayesian inverse problems" via a reactive Pluto notebook. In this experiment a classifier is learned via Bayes' Theorem for images of 10 handwritten digits (0 to 9). The notebook illustrates the use of different structured tensor priors and compares the performance of the resulting classifier with the standard Tikhonov prior on new test data.
history
- 2024-06-17 first online, published, posted
publisher
4TU.ResearchData
format
*.csv
references
derived from
funding
- Sustainable learning for Artificial Intelligence from noisy large-scale data (grant code VI.Vidi.213.017) [more info...] NWO
organizations
TU Delft, Faculty of Mechanical Engineering, Delft Center for Systems and Control (DCSC)
DATA
files (2)
- 39,153,341 bytesMD5:
3eeecc15603e8f7d64c70a7a877a6ecc
test.csv - 39,038,105 bytesMD5:
a980b64370edac2c1e60768cea5469bb
train.csv -
download all files (zip)
78,191,446 bytes unzipped