Displaying 338 resources
Digital Image Filtering
This lecture overviews Image Filtering, which is very important to ensure high image quality and image denoising. It covers the following topics in detail: Image noise. 2D FIR filters, including Moving average filters.
Lecture notes on reinforcement learning
Reinforcement learning is an appealing subject. Firstly, it is a very general concept: an agent interacts with an environment with the goal to maximize
the rewards it receives from the environment.
Stereotypes in Language & Computational Language Models
Combined knowledge from linguistics, psychology, and natural language processing.
Algebraic Graph Analysis
This lecture overviews Algebraic Graph Analysis that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Graph Basics.
Introduction to Tropical Geometry and its Applications to Machine Learning
Tropical geometry is a relatively recent field in mathematics and computer science combining elements of algebraic geometry and polyhedral geometry.
Artificial Neural Networks. Perceptron
This lecture will cover the basic concepts of Artificial Neural Networks (ANNs): Biological neural models, Perceptron, Activation functions, Loss types, Steepest Gradient Descent, On-line Perceptron training, Batch Perceptron training.
Cinematography Issues in Sports Filming
This lecture overviews Cinematography Issues in Sports Filming that has many applications in digital media and TV productions.
Digital Images
This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented. Elementary digital image processing and geometrical transformations operations are explained.
Attention and Transformers Networks
In this lecture, the limitations of Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) in effectively processing sequences are emphasized.
Video Digitization
This lecture overviews Video Digitization that has many applications in digital video and TV. It covers the following topics in detail: Video scanning and sampling. 3D data types (Digital video signal, volumetric images).
Z Transform
This lecture overviews Z Transform that has many applications in signal processing and systems theory.
Large Language Models, ChatGPT and University Education
This lecture overviews the impact of the Large Language Models, particularly of ChatGPT language model in Education, e.g., in Universities. First it present the ChatGPT transformer structure and ChatGPT training.