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Generative Adversarial Networks

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Create realistic images and data using Generative Adversarial Networks (GANs) with deep learning techniques
  • Implement GAN architectures for image synthesis, data augmentation, and creative AI applications
  • Evaluate the performance of GAN models using metrics like Inception Score and Fréchet Inception Distance (FID)
  • Troubleshoot common issues in GAN training such as mode collapse and training instability

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Lessons | 4

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Moksha sai 

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2025-11-28

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Generative Adversarial Networks, or GANs, are a deep-learning-based generative model. More generally, GANs are a model architecture for training a generative model, and it is most common to use deep learning models in this architecture .