Fig. 8
From: A novel deep neural architecture for efficient and scalable multidomain image classification
The accuracy curve of our architecture according to the nine datasets has been used. The accuracy curve provides a visual representation of the training and validation accuracy over the course of architecture training y. The x-axis is the epoch of the functions, whereas the y-axis depicts the score. It allows us to observe how the model’s accuracy improves or plateaus during the training process. Additionally, the loss curve illustrates the decrease in the model’s loss function as training progresses.
