🎓 COURSES Repository

This repository contains comprehensive course materials and resources from various prestigious institutions and platforms, focusing on Robotics, Computer Vision, Deep Learning, and AI technologies.

📚 Course Collection

1. Aerial Robotics - University of Pennsylvania

• Advanced concepts in aerial robotics
• Drone programming and control systems
• Flight dynamics and navigation

2. Deep Learning and Data Science Course - Dunup

• Fundamentals of Deep Learning
• Data Science principles and applications
• Practical implementations and case studies

3. Introduction to Computer Vision and Image Processing - IBM

• Image processing fundamentals
• Computer vision algorithms
• OpenCV implementations
• Real-world applications

4. Neural Networks and Deep Learning Course - University of Tehran

• Neural network architectures
• Deep learning frameworks
• Practical implementations
• Advanced optimization techniques

5. TensorFlow Advanced Techniques Specialization - DeepLearning.ai

• Custom layers and models
• Advanced TensorFlow features
• Model optimization
• Custom training loops

6. Jetson Nano B01 Boot Camp 2021 - Udemy

• NVIDIA Jetson Nano programming
• Edge AI implementation
• Embedded systems development

🚀 Getting Started

1. Clone the repository:

git clone https://github.com/Awrsha/COURSES.git

📂 Repository Structure

COURSES/
├── Aerial-Robotics/
├── DL-and-DS-Course/
├── Computer-Vision-IBM/
├── NNDL-Course/
├── TensorFlow-Advanced/
└── Jetson-Nano-Bootcamp/

🔧 Prerequisites

• Python 3.7+
• TensorFlow 2.x
• OpenCV
• CUDA (for GPU acceleration)
• Jupyter Notebook

💡 Key Features

• Comprehensive course materials
• Practical examples and implementations
• Hands-on projects
• Assessment materials
• Reference documentation

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👤 Author

Arsha

• GitHub: @Awrsha

🌟 Acknowledgments

• University of Pennsylvania
• IBM
• DeepLearning.ai
• University of Tehran
• Dunup
• Udemy

📞 Contact

For any questions or concerns, please open an issue or contact the repository owner.

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