Skip to content

Latest commit

 

History

History
35 lines (19 loc) · 993 Bytes

README.md

File metadata and controls

35 lines (19 loc) · 993 Bytes

WSNN - World's Slowest Neural Network

raw python babyyyyyyyyy

Side note: please do not use this in production.

How to run

1. Install Python

2. git clone https://github.com/havardox/worlds_slowest_neural_network.git

3. cd worlds_slowest_neural_network

4. python -m venv venv

5. Unix/MacOS: source venv/bin/activate

 Windows: venv\Scripts\activate

Depending on your OS, the python command may be called py or python3.

6. python -m pip install .

7. cd wsnn

8. python main.py

9. Click "Train"

After a really, really, REALLY long time, the neural network will correctly paint the target labels blue (the dots with the black borders). The network has been correctly trained to color the targets on the given XY graph of randomly generated points.

WSNN's official mascot

7bis7h