Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
stands for Deep Convolutional Generative Adversarial Networks. This network takes as input 100 random numbers drawn from a uniform distribution and outputs an image of desired shape. The network consists of many convolutional, deconvolutional and fully connected layers. The network uses many