🚀 Deep Learning Fundamentals

This repository contains implementation of core deep learning concepts from scratch using Python.

📌 Topics Covered

• Perceptron
• Multi Layer Neural Network
• Gradient Descent
• Regularization

📂 Files

• Perceptron.ipynb
• Multi_layer.ipynb
• Gradient_Descent.ipynb
• Regularization.ipynb

🎯 Purpose

This project is created to understand:

• Mathematical intuition behind neural networks
• Backpropagation concept
• Optimization using gradient descent
• Overfitting and regularization techniques

🛠 Technologies Used

• Python
• NumPy
• Matplotlib
• Jupyter Notebook

🎓 Suitable For

• Students learning Deep Learning
• Interview preparation
• Building strong ML foundation

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Happy Learning 🚀