Welcome to my Deep Learning Notebooks repository! Here, you'll find a collection of Jupyter notebooks showcasing concepts, implementations, and experiments across various deep learning topics. Whether you're a beginner looking to understand the basics or a practitioner diving into advanced architectures, this repo has something for you. 🚀
This repository is organized into the following categories for easy navigation. Feel free to explore and learn at your own pace.
| Folder Name | Description |
|---|---|
| ANN | Dive into the world of Artificial Neural Networks. From basic structures to training techniques. |
| CNN | Explore Convolutional Neural Networks for image processing and computer vision tasks. |
| PyTorch Demos | Hands-on tutorials and experiments with PyTorch, a popular deep learning framework. |
| Transformers | Explore Transformer models, including demos for NLP-based tasks. |
| More Coming Soon! | Stay tuned for additional topics, including RNNs and GANs. 🎉 |
This repo is a learning companion for anyone passionate about deep learning. You can:
- Learn key concepts with practical implementations.
- Experiment with code to deepen your understanding.
- Use these notebooks as starting points for your own projects.
Have suggestions or ideas? Found a bug? Contributions are always welcome!
Feel free to open an issue or submit a pull request.
Let's make this repository even better together. 🌟
If you have any questions, feel free to reach out or connect with me.
Let’s dive into deep learning and push boundaries! 🚀
Happy coding! 💻