Deep Learning Projects 🧠🔥

This repository contains a collection of deep learning projects and experiments focused on understanding and applying neural network concepts.

📂 Contents

• Implementations of various deep learning models
• Experiments with different architectures (e.g., CNNs)
• Practice projects for real-world datasets

🧰 Tech Stack

• Python
• NumPy
• Pandas
• TensorFlow / PyTorch
• Matplotlib / Seaborn

▶️ How to Run

1. Clone the repository:

   git clone https://github.com/Archi-shaw/Deep-Learning.git

2. Navigate to a project folder:

   cd Deep-Learning/<project_name>

3. Run the script or notebook:

   python main.py

   or open the .ipynb file in Jupyter Notebook.

🎯 Purpose

The goal of this repository is to build a strong foundation in deep learning through hands-on implementation and experimentation.