BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset

Transfer Learning (TL) is a methodology that allows the re-train of a Machine Learning (ML) algorithm (like Neural Networks or NN's) for a new task with the advantage of the previous training acquired knowledge; with this methodology, it is possible to train NNs for a new task even if the data...

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