Fig. 14: Typical figures-of-merit used to quantify the performance of ANNs intended for pattern recognition.
From: Hardware implementation of memristor-based artificial neural networks
In this case, they are plotted as a function of the training epochs. a Accuracy, b confusion matrix, c Loss function (cross-entropy), d Sensitivity, e Specificity, f Precision, g F1-score, h κ-coefficient.
