Multimodal Deep Learning, Autoencoder, Gan, Vae.
characteristics of the data. Training process Training an autoencoder is typically an unsupervised process. It involves presenting the same data as both input and target during training. The network is updated using backpropagation and gradient descent to minimize the reconstruction error. Over