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Deep Learning for Time Series - Advancements in Recurrent Architectures and Reservoir Computing

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) via YouTube

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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.

Syllabus

Deep Learning for Time Series: Advancements in Recurrent Architectures and Reservoir Computing

Taught by

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

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