If you want to try deep learning and EEG, if you have lots of data, but supervised learning is difficult or ineffective for your target task, you might want to experiment with self-supervised learning as popularized for #transformers and vision models!
Techniques such as MoCo, SimCLR are already implemented, and eeg augmentations can be used and further customized. If you do not know how to come up with architectures, don't worry! A model zoo is there 👨🏾💻🧠
Comprehensive review on Self-Supervised Learning ("the dark matter of intelligence") with focus on vision tasks and lowering the high barrier to entry.