Multimodal Deep Learning, Autoencoder, Gan, Vae.
The trade-off between these two terms is essential for balancing data reconstruction and regularization. The regularization term prevents the latent space from overfitting and helps ensure that it’s suitable for data generation. Training process VAEs are trained using variational inference, a