Multimodal Deep Learning, Autoencoder, Gan, Vae.
with random noise and learns to map this noise to data samples through training. Discriminator (D): The discriminator is another neural network that acts as a binary classifier. It takes input data and tries to distinguish between real data from the training set and fake data produced by the