Python JellyFish

EEGNet: A Deep Learning Architecture for EEG Signal Classification

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EEGNet is designed as a convolutional neural network for the task of electroencephalogram (EEG) signal classification. It provides a robust framework for applications ranging from brain-computer interfaces to medical diagnosis. With customizable hyperparameters, EEGNet can be tailored to a variety of EEG decoding tasks.

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