This course is designed for anyone interested in deep learning in Python, in particular with PyTorch.
We will focus on programming; however, the necessary mathematical background will be covered in the math lab as needed.
Course materials will be based on the book Dive into Deep Learning (https://d2l.ai/), and topics will include:
- Working with data
- Linear neural networks
- Multilayer perceptrons
- Deep learning computation
- Recurrent neural networks
- Attention mechanisms
- Optimization algorithms
- Dozent/in: Alexandra Moringen