Difference between DCGAN and cyclicGAN
Introduction: In recent times, lots of research have been going on, and many new techniques have been introduced in the Deep Learning domain. Especially, the development has been made in the computer vision area such as Deepface and 3D model generation using 2d images and many more. There is also a subdomain of vision area which can generate unseen images by training a Generative adversarial network(GAN). There are multiple ways to generate images depending on applications. But, there are two models which can be used mostly. DCGAN (Deep convolution GAN) cyclicGAN Explanation: One can check the following criteria to distinguish between these two models. Architecture: DCGAN has basic GAN architecture which contains a generator and discriminator. The input of the generator is a random numbers array from any distribution (normal/uniform). Figure 1: DCGAN functional diagram CyclicGAN has a complex architecture that contains two generators and discriminators. One GAN archi...