ADR Awareness Centre

This lecture overviews Domain Adaptation that has many applications in DNN training and adaptation.

This lecture overviews Neural Image Compression that has many applications in image storage and communications.

This lecture overviews Pedestrian Detection  that has many applications in autonomous car vision and smart city applications.

This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.

This lecture overviews  that has many applications in distributed Machine Learning and privacy protection.

Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design.

A central challenge to contemporary AI is to integrate learning and reasoning.

This lecture overviews Geometric Spaces that has many applications in Machine Learning and Digital Signal Processing and Analysis. It covers the following topics in detail: Vector Spaces, Affine Spaces, Metric Spaces.

This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.

This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.

This lecture overviews Recurrent Neural Networks and Long Short-Term Memory (LSTM) networks that have many applications in signal and video analysis. It covers the following topics in detail: Neural Networks for Sequence Analysis.