Overview Of Generative Adversarial Networks

Once trained, Neural Networks are fairly good at recognizing voices, images, and objects in every frame of a video – even when you are playing the video. Let’s say you are not able to buy an expensive painting from a famous painter; can you create/generate an artificial painter who can paint like any famous artist by learning from his/her past collections? The answer is Yes – using Generative adversarial networks (GAN) you can. Generative Adversarial Networks (GANs) are a class of algorithms used in unsupervised learning -- you don’t need labels for your dataset in order to train a GAN.

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