A comprehensive deep learning course structured as Jupyter Notebook tutorials covering foundational topics from tensor manipulation and linear regression through neural networks, CNNs, and RNNs. The repository provides hands-on lab exercises and code examples based on PyTorch 1.0.0, serving as a practical learning resource for beginners in machine learning and deep learning.