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This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces".

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EEGNet_Pytorch

This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces". EEG Net is a compact convolutional network that is both lightweight with few parameters and powerful in processing raw EEG signals.

My Environment Information

Python Version : 3.9.18

PyTorch Version : 2.1.0

Torchmetrics Version : 1.2.0

References

EEGNet : A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces

DOI : 10.1088/1741-2552/aace8c

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This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces".

python deep-learning signal-processing cnn pytorch eeg eeg-signals convolutional-neural-network eegnet depthwise-separable-convolutions depthwise-convolutions eeg-net

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