Displaying 302 resources
Video Captioning
This lecture overviews Video Captioning that has many applications in video description, search and retrieval. It covers the following topics in detail: Video captioning definitions and datasets.
Representation Learning for Natural Language Processing
Provides a comprehensive overview of the representation learning techniques for natural language processing.
Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning.
Shares insights into
Neural SLAM
This lecture overviews Neural SLAM that has many applications in robotic and autonomous vehicle localization and mapping.
Digital Painting Analysis and Conservation
This lecture overviews an important topic of Digital Humanities, namely digital painting analysis that has many applications in painting conservation and in the history of arts.
Image-Based Rendering and View Synthesis
This lecture overviews Image-Based Rendering and View Synthesis that has many applications in computer graphics, data visualization, simulators, Virtual Environments and media production.
Video Streaming
This lecture overviews Video Streaming that has many applications in videoconferencing, social media and TV webcasting.
From Images to Text New forms of Human-AI Interaction
Recent progress in the Computer Vision and Natural Language Processing communities have made it possible to connect Vision and Language together in a variety of different tasks which lie at the intersection of Vision, Language, and Embodied AI.
Federated Learning
This lecture overviews that has many applications in distributed Machine Learning and privacy protection.
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.
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.
Transform Video Compression
This lecture overviews Transform Video Compression that has many applications in digital TV broadcasting, videoconferencing, video streaming and social media.
Multilayer perceptron. Backpropagation
This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.