A basic feed forward neural network implementation in Python.
It uses the sigmoid function as the activation function.
It uses the mean squared error as the cost function.
It uses the gradient descent algorithm to train the network.
Create the python virtual environment:
python3 -m venv venv
Run the virtual environment:
source venv/bin/activate
Install the dependencies:
pip install -r requirements.txt
Run the code:
python main.py
Exit the virtual environment:
deactivate