This is a configurable neural network from scratch. Configurable parameters include the activation layers, number of layers, neurons per layer, type of gradient descent, type of learning rate, number of iterations and loss function.

=> Note : This project was done using python3 in a python venv environment. The OS used was WSL2.

1. Run

pip install -r requirements.txt

to install. Note you must be in the root directory.

1. Navigate to the src directory

cd src/

2. Run the main.py file by typing following command

python3 main.py

3. Fill in your parameter as instructed and press enter. The neural net you created will train using the wisconsin breast cancer dataset.

4. Results will be printed on screen and saved in the /Results directory in a numpy file format.