This project converts the MXNet code examples from the Dive into Deep Learning textbook into PyTorch implementations. The repository contains Jupyter notebooks organized by chapter, covering topics in deep learning, computer vision, and natural language processing. It is designed as a learning resource for people interested in deep learning, requiring only basic mathematics and Python knowledge.