Deep Learning
CMPE 597Instructor: Assoc. Prof. İnci Baytaş
Course Description
An introduction to artificial neural networks, deep learning, fundamental deep architectures, and their applications.
Topics (official, summarized)
- Multilayer perceptron
- Training deep networks and optimization
- Convolutional neural networks
- Sequence modeling (RNNs, transformers)
- Graph neural networks
- Auto-encoders
- Deep generative models (VAEs, GANs, diffusion models)