Fig. 9: Multilayer perceptron loss.
From: AI-QuIC machine learning for automated detection of misfolded proteins in seed amplification assays
The value of the cross-entropy loss is measured after each epoch on the dataset used to train the model (Train Loss) and a small portion of the larger training set which was withheld for validation (Val Loss). A lower loss indicates less error between predicted and true labels.
