ADR Awareness Centre

This resource corresponds to 7th video from the AI Excellence Lecture Series.

We study the power of cooperation in a network of communicating agents that solve a learning task. Agents use an underlying communication network to get information about what the other agents know.

This lecture will overview 2D linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(N^2log2N).

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

This lecture overviews Super Resolution that has many applications in digital imaging, display and printing.

This lecture will cover the basic concepts of Artificial Neural Networks (ANNs): Biological neural models, Perceptron, Activation functions, Loss types, Steepest Gradient Descent, On-line Perceptron training, Batch Perceptron training.