Neural networks are computational models inspired by the organisation and function of biological neurons. They consist of layers of interconnected units (neurons), each computing a weighted sum of ...

Graph Neural Networks (GNNs) have emerged as a powerful class of models for learning from graph-structured data, capturing complex relational patterns across nodes and edges. However, their inherent ...

Overview This video explains how artificial neural networks work, from the basic mathematical model of a neuron to how networks are trained and why AI can pose societal challenges. It covers neuron ...