Deep-Learning-Experiments
This updated 2023-2024 version provides comprehensive notes and practical experiments on deep learning, covering topics such as supervised learning, CNNs, RNNs, transformers, and large language models. It includes downloadable resources, Jupyter notebooks, and guides on key programming tools like Python, PyTorch, and Docker, offering a complete educational experience for mastering modern machine learning methods.
