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- Part 1 - Introduction
- 1.1: Introduction: machine learning, a couple of applications
[46 slides]
- 1.2: A short history of deep learning
[10 slides]
- 1.3: An extremely short crash course on fitting and generalization
[23 slides]
- Part 2 - Neural Networks and PyTorch
- Part 3 - Machine Learning for Control
- Part 4 - Architectures beyond MLPs
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