Applications of Generative Adversarial Network
Soma Aziz Muhammad Solaimanzadeh
soma.aziz@cihanuniversity.edu.iq
Abstract- Generative Adversarial Network (GAN) is a type of deep learning network that can generate data with similar characteristics as the input real data. These networks take advantage of two interrelated Artificial Neural Networks to create fake data. GAN, which was introduced by Ian Good fellow in 2014, is considered as one of the most interesting ideas in Machine Learning. Such models are mainly used in image generation, voice generation and video generation. This presentation aims at introducing the structure of GANs and reviewing some of its applications in different areas.
Keywords- GAN, Artificial Neural Networks, Generative Model, Discriminative Model
Date: 19/04/2020
Place: Via Online