Advanced Machine Learning
- Unit Coordinator: Dr. Jens-Peter M. Zemke
- ECTS Credits: 6
- Semester: 1
- Year: 2
- Campus: Hamburg University of Technology
- Language: English
- Content:
- Basics: analogy; layout of neural nets, universal approximation, NP-completeness
- Feedforward nets: backpropagation, variants of Stochastistic Gradients
- Deep Learning: problems and solution strategies
- Deep Belief Networks: energy based models, Contrastive Divergence
- CNN: idea, layout, FFT and Winograds algorithms, implementation details
- RNN: idea, dynamical systems, training, LSTM
- ResNN: idea, relation to neural ODEs
- Standard libraries: Tensorflow, Keras, PyTorch
- Recent trends
- Reading list:
Skript
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