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https://github.com/defgsus/neurost
Neuronal ShaderToy Framework
https://github.com/defgsus/neurost
Last synced: 28 days ago
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Neuronal ShaderToy Framework
- Host: GitHub
- URL: https://github.com/defgsus/neurost
- Owner: defgsus
- License: other
- Created: 2016-02-09T13:52:15.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2016-02-10T14:42:37.000Z (almost 9 years ago)
- Last Synced: 2024-10-10T15:49:50.671Z (about 1 month ago)
- Language: GLSL
- Size: 21.5 KB
- Stars: 4
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Neuronal ShaderToy Framework
Experiments with multi-layer neural networks on http://shadertoy.com
### status
- classic multilayer perceptron with states, weights, and errors in only two render buffers
- basically working for up to 4 layers (2 hidden)
- max number of layers is fixed in code but can be expanded. The lack of const arrays in webgl requires a lot of workaround. Also limited by screen resolution
- time inefficient: 4 layers need 8 frames for one training case: only 7.5 updates per second. GPUs could do *much* better
- hard to analyze performance because of slowness..
- can save two frames by not copying input state and pre-calcing error, which would make code less coherent for layers