Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification
Fig 2
Variation of the loss function for DNN models with the number of learning cycles.
The compound blue line represents average loss per epochs during training of 10 DNN models. Top and bottom of the gray area correspond to the maximum and minimum limits of the loss at each epoch for ten models. After about 30 epochs, there was no improvement in the loss function and we typically terminated the training at 30 epochs.