In the field of deep learning, model analysis plays a important role in evaluating the performance and effectiveness of deep learning models. Two main metrics commonly used for this purpose are accuracy and loss. These metrics provide valuable insights into the model's ability to make correct predictions and its overall performance. 1. Accuracy: Accuracy is