This repository contains implementation of core deep learning concepts from scratch using Python.
- Perceptron
- Multi Layer Neural Network
- Gradient Descent
- Regularization
- Perceptron.ipynb
- Multi_layer.ipynb
- Gradient_Descent.ipynb
- Regularization.ipynb
This project is created to understand:
- Mathematical intuition behind neural networks
- Backpropagation concept
- Optimization using gradient descent
- Overfitting and regularization techniques
- Python
- NumPy
- Matplotlib
- Jupyter Notebook
- Students learning Deep Learning
- Interview preparation
- Building strong ML foundation
Happy Learning 🚀