This repository keeps the tutorial notebooks which you will be using for your HW. The notebooks will largely be run on Google Colab.
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Authors
- Original Author: Bhargav Srinviasa Desikan
- Editors and Reviewers: James Evans, Junsol Kim
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Schedule
- Week 1. Mar. 22: Deep Learning?
- Week 2. Mar. 29: Deep Architectures, Training & Taming
- Week 3. Apr. 5: Sampling, Bias, and Representativeness in Deep Learning
- Week 4: Apr. 12: Text Learning
- Week 5. Apr. 19: Transformers and Social Simulation
- Week 6. Apr. 26: Auto-encoders, Network & Table Learning
- Week 7. May. 3: Sound & Image Learning
- Week 8. May. 10: Multi-Modal Learning
- Week 9. May. 17: Reinforcement Learning