https://github.com/intob/single-layer-perceptron
Most basic implementation of a neural network
https://github.com/intob/single-layer-perceptron
Last synced: 2 months ago
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Most basic implementation of a neural network
- Host: GitHub
- URL: https://github.com/intob/single-layer-perceptron
- Owner: intob
- Created: 2020-11-25T21:35:46.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-11-25T21:36:23.000Z (over 4 years ago)
- Last Synced: 2025-03-15T08:04:09.293Z (3 months ago)
- Language: Go
- Size: 1000 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# single-layer-perceptron
Most basic form of neural network, written in Go.
The perceptron is trained with input data and the actual output.
When calling propogateForward() after training, an acturate prediction is returned.
The actual output only depends on the first value of each input vector.