Neural Networks
Basic concepts of neural networks
Deep Neural Networks
Fundamentals of deep architectures and multilayer networks
CNN
Deep learning models specialized in processing images and spatial data
RNN & Attention
Models for sequential data and the mechanisms that allow networks to focus on relevant information
Transformers
Deep learning models based on self-attention, widely used in NLP and computer vision
Diffusion Models
Generative models that iteratively transform noise into realistic data such as images
Information Theory
Literature
Key research papers, influential readings, and my thesis