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Deep Learning Fundamentals: Code Materials and Exercises

This repository contains code materials & exercises for Deep Learning Fundamentals course by Sebastian Raschka and Lightning AI.


For other announcements, updates, and additional materials, you can follow Lightning AI and Sebastian on Twitter!


Links to the materials

Unit 1. Welcome to Machine Learning and Deep Learning [ Link to videos ]

Unit 2. First Steps with PyTorch: Using Tensors [ Link to videos ]

Unit 3. Model Training in PyTorch [ Link to videos ]

Unit 4. Training Multilayer Neural Networks [ Link to videos ]

Unit 5. Organizing your PyTorch Code with Lightning [ Link to videos ]

Unit 6. Essential Deep Learning Tips & Tricks [ Link to videos ]

Unit 7. Getting Started with Computer Vision [ Link to videos ]

Unit 8. Introduction to Natural Language Processing and Large Language Models [ Link to videos ]

Unit 9. Techniques for Speeding Up Model Training [ Link to videos ]

Unit 10. The Finale: Our Next Steps After AI Model Training [ Link to videos ]

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  • Jupyter Notebook 98.9%
  • Python 1.1%