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## Project description

# 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.

![OCR example](https://i.imgur.com/2mwf7XQ.jpg)

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.

## Project details

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