Data Science

GANs Specialization

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Infiltrate the field of GANs. Become proficient in the latest GANs techniques by enrolling in three hands-on courses!

Key AI Functions:Glossary of computer graphics,Generator,Image-to-Image Translation,Generative Adversarial Networks,Discriminator

Description for GANs Specialization

  • Learn the components of GANs, construct basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN, and construct conditional GANs.
  • Compare generative models, evaluate the fidelity and diversity of GANs using the FID method, develop the ability to identify bias in GANs, and implement StyleGAN techniques.
  • Utilize GANs for the purpose of data augmentation and privacy preservation, conduct a survey of GAN applications, and analyze and construct Pix2Pix and CycleGAN for image translation.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by DeepLearning.AI

    Duration: 2 months at 10 hours a week

    Schedule: Flexible

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