Multimodal Deep Learning, Autoencoder, Gan, Vae.
work together in a unique way. There are two key components of a GAN: Generator (G): The generator is a neural network that takes random noise as input and tries to produce data samples that are similar to the real data it was trained on. In other words, it creates fake data. The generator starts