Multimodal Deep Learning, Autoencoder, Gan, Vae.
quality of the training data. Poorly designed autoencoders or insufficient data may result in suboptimal representations. Autoencoders can suffer from overfitting, especially when the latent space is too large or when there’s a lack of regularization. They may not be ideal for generating entirely