roatienza/Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
This project offers a structured learning path for understanding and experimenting with deep learning. It provides detailed lecture notes (PDFs) and practical code examples (Jupyter notebooks) on key deep learning concepts, from fundamental models like MLPs and CNNs to advanced topics like LLMs and Diffusion Models. The resource is ideal for machine learning engineers and researchers looking to deepen their theoretical knowledge and apply it through hands-on coding.
1,183 stars.
Use this if you are a machine learning practitioner seeking comprehensive educational materials and practical code implementations for a wide range of deep learning architectures and techniques.
Not ideal if you are looking for a high-level overview or a ready-to-use solution without needing to engage with the underlying code and theory.
Stars
1,183
Forks
774
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 04, 2026
Commits (30d)
0
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