Deep Network Developments
An advanced course covering the latest developments in deep learning, from theoretical foundations to practical implementation. Students gain hands-on experience with modern architectures and real-world applications.
Topics Covered
- Supervised deep learning architectures
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks & Transformers
- Generative AI & Large Language Models
- Real-world AI applications in healthcare
- Ethical considerations in AI development