Explore memory augmented networks in this 47-minute lecture by Pascal Poupart. Delve into the architecture, attention mechanisms, and context vectors that form the foundation of these advanced neural networks. Understand the role of softmax in decision-making processes and examine machine translation as a practical application. Learn about the BLEU score for evaluating translation quality and discover how these networks generalize to tackle various complex tasks in artificial intelligence and natural language processing.
Overview
Syllabus
Intro
Architecture
Attention
Context Vector
Softmax
Machine Translation Example
Blue Score
Example
Generalization
Taught by
Pascal Poupart
