Deep Learning Reading Group
This is tenth session of 2024. We'll be discussing:
(Methods) Optuna: A Next-generation Hyperparameter Optimisation Framework
(https://arxiv.org/abs/1907.10902)
- The tuning of hyperparameters in deep learning is often conducted using grid search, i.e. trying a bunch of different hyperparameters and selecting the best performing one. However, there are more principled approaches worth discussing. This software paper outlines a few of these in a more practical context.
Upcoming material is to be read before each session, so that it may be discussed in an open format. Staff and students from all backgrounds who are interested in these topics are welcome. If you are interested but haven't been to a session yet, come along. There is no need to have participated in all sessions.