Shout out to GAN (Start ver.)

Introduction

GAN is simply a generative model that generates new data from the input data. They are used to perform unsupervised operations. They work majorly with image data and also audio data. The Generative adversarial networks consist of a generator and a discriminator. Both are kinds of neural networks that compete with each other. GANs are very computationally expensive with a requirement of extremely high-end GPUs and lots of time to get trained.

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