Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore gated recurrent neural networks with weighted time-delay feedback in this 28-minute conference talk delivered by Soon Hoe Lim from Nordita, KTH Royal Institute of Technology and Stockholm University. Presented at the Fourth Symposium on Machine Learning and Dynamical Systems, hosted by the Fields Institute on July 11, 2024, this lecture delves into advanced concepts in neural network architecture. Gain insights into the integration of time-delay feedback mechanisms within gated recurrent structures, and understand their implications for enhancing the performance and capabilities of machine learning models in dynamic system applications.
Syllabus
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
Taught by
Fields Institute
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent