This repository provides a structured educational curriculum for learning deep learning from first principles. The course progresses through foundational topics including tensor operations, building simple neural networks, CNNs, and RNNs, then covers implementing vision models such as LeNet, and continues into more advanced topics including transformer architectures and Stable Diffusion. Each section includes PyTorch code examples and associated video lectures.