Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
using which we can manipulate images in the way we want. Fig.5. Generator of DCGAN Fig.6. Discriminator of DCGAN One of the most widely used variation of GANs is conditional GAN which is constructed by simply adding conditional vector along with the noise vector (see Fig. 7). Prior to cGAN, we were