Lecture

Deep Learning: Recurrent Neural Networks

Description

This lecture covers the application of Recurrent Neural Networks in Machine Learning for Behavioral Data, focusing on topics such as Deep Knowledge Tracing, LSTM and GRU networks, hyperparameter tuning, and time series prediction tasks. The instructor demonstrates model creation, parameter specification, and model fitting for predicting student performance in a MOOC. The session also includes a hands-on tutorial and office hours for project-related queries.

Official source

https://mediaspace.epfl.ch/media/0_3tekak07

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Statistics

Data analysis: Cross-validation

Mathematics

Algebra: Representation theory

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