Deep Learning pipeline for motor-imagery classification.
It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf
Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.
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