Overview / Usage

This project is to make people new to deep learning to understand how things actually work at the ground level. That is teaching the forward propagation and back propagation algorithm, the mathematics involved in it. How is a model created? how weight and bias are initialized? and more. Everything is hands on.

Methodology / Approach

I have tried to create a simple modular code, with doc string to understand each function. I am planning to create a detailed Jupyter notebook that will teach concepts along with the code.

Technologies Used

Pandas and Numpy.

Repository

https://github.com/ravish1729/Neural-Network-for-beginers