Multimodal Deep Learning, Autoencoder, Gan, Vae.
transforming the encoded information back into the original feature space. Loss Function The autoencoder is trained by minimizing a loss function that quantifies the difference between the input data and the reconstructed data. The most commonly used loss function is the mean squared error (MSE),