https://github.com/armandfs/multi-output-nn
In this short jupyter notebook, I will be explaining the details and steps of a basic multi output neural network https://archive.ics.uci.edu/dataset/242/energy+efficiency in a regression style NN. Dataset credit to
https://github.com/armandfs/multi-output-nn
Last synced: about 1 month ago
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In this short jupyter notebook, I will be explaining the details and steps of a basic multi output neural network https://archive.ics.uci.edu/dataset/242/energy+efficiency in a regression style NN. Dataset credit to
- Host: GitHub
- URL: https://github.com/armandfs/multi-output-nn
- Owner: ArmandFS
- Created: 2023-07-10T06:02:10.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-07-22T15:53:23.000Z (almost 3 years ago)
- Last Synced: 2025-07-23T10:51:27.085Z (11 months ago)
- Language: Jupyter Notebook
- Size: 190 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# multi-output-nn
In this short jupyter notebook, I will be explaining the details and steps of a basic multi output neural network in a regression style NN. Dataset credit to https://archive.ics.uci.edu/dataset/242/energy+efficiency. I've also used some code from Laurence Moroney's Coursera Course, so credit to him as well. More credits are shown in the Notebook.