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