Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
Discriminator. This network was trained using mini-batch stochastic gradient descent and Adam optimizer was used to accelerate training with tuned hyperparameters. The results of the paper were quite interesting. The authors showed that the generators have interesting vector arithmetic properties