Example Concept: To enhance a neural network's accuracy in image classification, you can apply data augmentation techniques like rotation, flipping, and scaling to increase dataset diversity. Additionally, consider using transfer learning with pre-trained models, optimizing the network architecture by adding layers or using dropout for regularization, and fine-tuning hyperparameters such as learning rate, batch size, and number of epochs.