Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data

Figure 3

Accuracy and loss function during training and validation shown for 50 epochs. The values for the training dataset are computed with 50% dropout rate to provide a more robust estimate.