Multimodal Deep Learning, Autoencoder, Gan, Vae.
capture class labels or semantic information. Consequently, they may not be well-suited for tasks that require explicit class separation or meaningful data representations. The quality of the learned representations is highly dependent on the architecture, hyperparameters, and the quantity and