Figure 4.
Accuracy and Loss curves for training and validation of the second data-fold for various CNN architectures. (A) Complete Fet-Net architecture. (B) No dropout in the feature extraction component. (C) No dropout in the feature extraction component or classification component. (D) No dropout in the feature extraction component or classification component, and no hidden dense layer of 256 neurons.