Tatyvelu

dlworkshop

EEG-Visual-Multiclass-Classification

This work addresses the challenge of EEG multiclass classification into 40 classes for BCI applications, by using deep learning architectures. Multi-class classification approach offers BCI applications a significant advantage since it allows the supervision of more than one BCI interaction, considering that each class label supervises a BCI task.

Improving-Motor-Imagery-EEG-Classification-based-on-Channel-Selection-Using-a-Deep-Learning-Archit

tensorflow

An Open Source Machine Learning Framework for Everyone