neural networks as a general-purpose computational framework
Project description
# neuralkernel [](https://travis-ci.com/nstebbins/benosman-models) [](https://pypi.python.org/pypi/neuralkernel) [](https://pypi.python.org/pypi/neuralkernel)
This project uses modeling of neural networks as a general-purpose computational framework. Specifically, this project is interested in replicating operations on continuous-time signals. It builds off of the ideas and networks outlined by Xavier Lagorce and Ryad Benosman.
### Usage
To test various networks, you just need to run app.py.
`bash python app.py `
The networks currently implemented are:
Inverting Memory
Logarithm
Maximum
Non-Inverting Memory
Synchronizer
For more information on each of these networks, please check out the docs folder.
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