Consider replacing deep belief nets with convolutional neural networks (CNNs) or ResNets as pre-trained layers. CNNs are more effective at extracting spatial hierarchies of features from images, while ResNets provide improved robustness to overfitting and can handle larger input sizes. However, this change may require re-training the entire model and may introduce additional computational overhead.
