Deep Learning Exercises - FAU Erlangen-Nürnberg

Professor Andreas Maier - Summer Semester 2024

This repository contains solutions to the Deep Learning exercises from the Summer Semester 2024 course at Friedrich-Alexander University Erlangen-Nürnberg, taught by Professor Andreas Maier.

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📋 Contents

The repository is organized into the following directories:

• Exercise_0: Random Patterns Generation using Numpy and Image Generator Development
• Exercise_1: Implementation of Feed Forward Neural Networks.
• Exercise_2: Implementation of Convolutional Neural Network.
• To be continued....

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🔧 Setup

Ensure the following prerequisites are installed:

System Requirements

• Python Version: Python 3.8+
• Required Libraries:
  • numpy
  • pandas
  • matplotlib
  • To be added if required.....

🚀 Usage

Each exercise is contained within its own directory. To run an exercise:

1. Navigate to the exercise directory via the terminal.
2. Execute the Python scripts available in that directory.

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🤝 Contributing

This repository serves as a personal archive and educational reference, but contributions are welcome.

• Feel free to open an Issue for suggestions or to report problems.
• Submit a Pull Request if you'd like to contribute improvements or additional solutions.

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📜 License

This project is distributed under the MIT License.

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🎓 Acknowledgments

Special thanks to Prof. Dr. Andreas Maier for designing and guiding the comprehensive course and exercises.

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📬 Contact

For any questions or feedback, feel free to reach out via my GitHub profile.