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course22 is the official repository containing the notebooks, slides, and supporting materials for the 2022 edition of the fast.ai course Practical Deep Learning for Coders. The repository serves as the core educational resource for the course, providing learners with hands-on exercises and coding tutorials that accompany each lecture. The project emphasizes learning deep learning through experimentation rather than purely theoretical study, encouraging students to build models and analyze results directly in Jupyter notebooks. The repository includes lesson notebooks, slide presentations, spreadsheets, and supplementary materials that help students understand neural networks, computer vision, and natural language processing tasks. The materials are designed to work alongside the fast.ai book and video lectures so learners can follow a structured learning pathway through modern deep learning techniques.
Features
- Complete course notebooks for the Practical Deep Learning for Coders program
- Lesson materials including slides, datasets, and spreadsheet resources
- Hands-on deep learning exercises using fastai and PyTorch
- Interactive Jupyter notebooks designed for experimentation
- Course structure aligned with lectures and the fast.ai textbook
- Examples covering computer vision, NLP, and model deployment workflows
Project Samples
