Displaying 199 resources
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.
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.
Face and Object De-detection
This lecture overviews Face and Object De-detection that has many applications in Human-centered Computing and privacy protection in Social or Broadcasted Media.
Adaptive Filters
This lecture overviews Adaptive Filters that has many applications in signal processing, automatic control, robotics and autonomous systems.
Laplace Transform
This lecture presents Laplace Transform (LT) and its region of convergence. Its relation to Laplace transform is presented. Notable LT properties are reviewed: time shift, convolution, signal differentiation/integration.