This repository is a comprehensive collection of hands-on labs and projects I and few PhD fellows developed during our PhD time to support ENSEA Engineering students in their Deep Learning course. With the initial class materials falling short of providing practical, application-focused learning, I stepped in to create these resources to ensure students could gain the skills and knowledge essential for success in AI and Deep Learning. Whether you're a beginner or an advanced learner, these labs will help you build a strong foundation and confidently tackle real-world challenges.
- Hands-On Learning: Dive into practical labs that cover essential Deep Learning concepts and techniques.
- Google Colab Integration: All labs are designed to run seamlessly on Google Colab, with GPU support for faster computation.
- Structured Curriculum: Organized by year and specialization, making it easy to navigate and follow.
- Open Source: Licensed under MIT, so feel free to use, modify, and share!
Explore advanced topics in Deep Learning tailored for 3rd-year SIA students. These labs focus on real-world applications and cutting-edge techniques.
A collection of foundational labs for 2nd-year students, introducing core concepts in AI and Deep Learning.
- Open in Google Colab: Each lab is provided as a Jupyter Notebook. Click the "Open in Colab" button to get started.
- Enable GPU: For faster training, enable GPU acceleration in Google Colab (
Runtime>Change runtime type>Hardware accelerator>GPU). - Save to Drive: Save your progress by copying the notebook to your Google Drive.
- Practical Skills: Gain hands-on experience with state-of-the-art Deep Learning tools and frameworks.
- Career-Ready: Build projects that align with industry standards and enhance your portfolio.
- Community-Driven: Contribute, collaborate, and learn with fellow students and AI enthusiasts.
- Python: The primary programming language for AI and Deep Learning.
- TensorFlow/PyTorch: Industry-standard frameworks for building and training neural networks.
- Google Colab: A cloud-based platform for running Python code with GPU support.
This project is licensed under the MIT License. Feel free to use, modify, and distribute it as needed. Just mention us or the repository when distributed or used. Contributions are always welcome!
If you found this repository helpful, let's connect on LinkedIn ! I'd love to hear your feedback, collaborate on projects. You can also connect with the folks that helped me writing these: Loïc, Carbonh14, Ishak96, Towzeur
Co-Writer:
Happy coding! 🚀