Learn about cutting-edge developments in deep learning architectures for time series analysis through a 55-minute research lecture from the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC). Explore advanced concepts in recurrent neural networks and discover the emerging field of reservoir computing, gaining insights into how these techniques can be applied to analyze and predict temporal data patterns.
Deep Learning for Time Series - Advancements in Recurrent Architectures and Reservoir Computing
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) via YouTube
Overview
Syllabus
Deep Learning for Time Series: Advancements in Recurrent Architectures and Reservoir Computing
Taught by
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)
