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# GangliPy
GangliPy is a collection of neural networks evaluated to be the best for certain types of tasks.
# In Progress
## Auto OCR
The first project here is an attempt to recognize all 60,000 unicode characters using a single hidden layer.
Fully connected input and output layers have proven sufficient for recognizing 16x16 unicode images, and can even predict never before seen characters.
- However, ‘predicting never before seen characters’ fades to noise when enough characters are seen, so another layer is
- needed to make this ‘variational’ and keep realistic guesses when failing to perfectly predict.
## Unicode Regognition Tests
The unicode recognition tests I’m using for Auto OCR will need to be pulled out and placed into a seperate testing and evaluation repository.
# Installation
There is currently no pip repository available. Once Auto OCR is finished, it will be pulled out into its own repo and will be added as a requirement to this one.
#License
GangliPy is distributed under the terms of [GNU AGPL V3.0](https://choosealicense.com/licenses/agpl-3.0)
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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
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