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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

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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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