Lectures related to Connectionism

Multi-layered Perceptron: History and Training Algorithm

Explores the historical development and training of multi-layered perceptrons, emphasizing the backpropagation algorithm and feature design.

The Future: Computational Linguistics and Deep Learning

Explores the influence of computational linguistics on deep learning architectures, covering grammar formalisms, connectionism, variable binding, and future directions.

AI & Consciousness

Explores the philosophical implications of artificial intelligence on consciousness and AI safety.

Deep Learning: Edge Detection and Neural Networks

Discusses edge detection techniques and the evolution of deep learning in neural networks.