Displaying 296 resources

Federated Learning

This lecture overviews  that has many applications in distributed Machine Learning and privacy protection.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Deep Reinforcement Learning

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.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Recurrent Neural Networks. LSTMs

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.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Transform Video Compression

This lecture overviews Transform Video Compression  that has many applications in digital TV broadcasting, videoconferencing, video streaming and social media.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Multilayer perceptron. Backpropagation

This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Soccer Video Analysis

This lecture overviews Soccer Video Analysis that has many applications in Human-centered Computing, Image and Video Analysis and Sports Analytics/coaching.
Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand

Distance-based Classification

This lecture overviews Distance-based Classification that has many applications in classification. It covers the following topics in detail: k-Nearest neighbor classification, Nearest neighbor graphs Supervised Learning Vector Quantization, LVQ1/2/3.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Digital Image Formation

This lecture overviews Image Formation, which is of primary importance in ensuring image quality and enabling image processing. It covers the following topics in detail: Light reflection models. Camera structure and models, e.g., Pinhole Camera.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Multiple Drone Media Production

This lecture overviews Multiple Drone Media Production that has many applications in drone cinematography.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Autonomous Car Sensors

This lecture overviews Autonomous Car Sensors that has many applications in autonomous car perception.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Dimensionality Reduction

This lecture overviews Dimensionality Reduction that has many applications in object clusring and object recognition.  It covers the following topics in detail: Feature selection. Principal Component Analysis. Linear Discriminant Analysis.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Motion Estimation

Motion estimation principals will be analyzed. Initiating form 2D and 3D motion models, displacement estimation as well as quality metrics for motion estimation will subsequently be detailed.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand