The Math Behind Attention Mechanisms
Offered By: Serrano.Academy via YouTube
Course Description
Overview
Dive into the mathematical foundations of attention mechanisms in this 38-minute video, part of a three-part series demystifying Transformer models. Explore key concepts such as embeddings, context, similarity, and attention through visuals and friendly examples. Learn about the Keys, Queries, and Values matrices, essential components of the attention mechanism. Gain a deeper understanding of how these elements work together to create powerful language models. Perfect for those seeking to grasp the technical underpinnings of modern natural language processing techniques.
Syllabus
Introduction
Recap: Embeddings and Context
Similarity
Attention
The Keys and Queries Matrices
The Values Matrix
Conclusion
Taught by
Serrano.Academy
Related Courses
Deep Learning for Natural Language ProcessingUniversity of Oxford via Independent Sequence Models
DeepLearning.AI via Coursera Deep Learning Part 1 (IITM)
Indian Institute of Technology Madras via Swayam Deep Learning - Part 1
Indian Institute of Technology, Ropar via Swayam Deep Learning - IIT Ropar
Indian Institute of Technology, Ropar via Swayam