Displaying 261 resources
Few Shot Object Recognition
This lecture overviews Few Shot Object Recognition that has many applications in image classification, when few training data are available. It covers the following topics in detail: Few-shot Image Learning definitions and methods.
MultiDrone Datasets
This lecture overviews MultiDrone Datasets that has many applications in autonomous drone research and development.
Convolutional Neural Networks Lecture
Convolutional Neural Networks form the backbone of current AI revolution and are used in a multitude of classification and regression problems. This lecture overviews the transition from multilayer perceptrons to deep architectures.
Multilayer perceptron. Backpropagation
This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.
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.
Adversarial Machine Learning
This lecture overviews Adversarial Machine Learning that has many applications in DNN robustness and in privacy protection.