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Home > Blogs > A Believable Guide to Generative Adversarial Networks (GANs)
GANs or Generative Adversarial Networks are unsupervised learning network for generative modeling. Traditionally, Machine Learning tasks have been used for discriminative tasks like classification and they have been known to perform extremely well across a variety of data like images and text.
GANs are currently pretty hot in research. There have been amazing advancements in style transfer using GANs. If you wish to implement GANs by yourself, follow through this Believable Guide to Generative Adversarial Networks!
Download this amazingly detailed guide on GANs here: https://www.manipalprolearn.com/generative-adversarial-networks-guide