Crowd-Net

The wonderfully generic (hopefully)crowd-sourced neural network (The crowd-sourced net has arisen in the form of p2p and is currently working on my lab!) This is mostly a learning experience for me, many many more efficient alternatives exist out there Tensorflow actually provides a really nice neural network representation here

Getting Started

If you want to experiment around, simply open up a python interpretive shell inside the src

import net
network = net.Net(learning_rate, num_input, [hidden neurons], num_output)
network.train([inputs], [outputs]) # must know number of input and output neurons in code
# or
network.mass_train([[inputs], [outputs]], iterations)
# or
network.function_train(func, iterations)

The network is dumb as rocks but it can work logic gates(100%) & 4 bit division(93%) pretty well!

Prerequisities

Python3

virtualenv

pip3 install virtualenv

Installing

Installation is not particularly hard, due to the small nature of this project

To get a working development environment setup, simply git clone this repository into a directory of each choice

git clone

next navigate to specified directory

cd CrowdNet

You should see the contents of the repository's filesystem

Then run virtualenv to initialize a virtual environment in the folder venv

virtualenv venv

And turn on the virtual environment

source venv/bin/activate

Finally, install the required modules

pip3 install -r requirements.txt

Note

To get out of a virtualenv:

deactivate

Running the tests

To run the automated test, navigate to the test directory: cd test and run the functions.py file

python3 shallow.py

or

./shallow.py

Deployment

Learning takes a bit of time(obviously) Bigger neural networks take insane amounts of ram

P2P module

Due to physical limitations of a single computer, I have developed a peer to peer cluster network that allows the neural network to distribute the processing power equally amongst all peers.

To initialize this, see documentation on the internet.py module.

Built With

• vim
• lots of googling

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• Marco Sirabella - Initial work - mjsir911

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Tensorflow for inspiration
• Mat Mazur for help understanding