Example Concept: To enhance CNN accuracy, you can apply data augmentation (e.g., rotating, flipping images), use transfer learning with pre-trained models, optimize hyperparameters (like learning rate, batch size), and implement regularization techniques (such as dropout). Additionally, increasing model complexity with more layers or units, while ensuring sufficient training data, can also help improve performance.