neural-network-from-scratch-using-python-

This is a basic deep learning model implementation capable of handling complex data distributions. The implementation is written in Python and utilizes essential libraries to achieve optimal performance.

Dependencies

• numpy: for matrix computation
• matplotlib : visualization
• sklearn : generating dataset
• tqdm : progression bar of the traning part