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DeepLearning.AI - Generative Adversarial Networks (GANs) Specialization 

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Generative Adversarial Networks (GANs) Specialization
 at 
Coursera 
Overview

Duration

3 months

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Generative Adversarial Networks (GANs) Specialization
 at 
Coursera 
Highlights

  • Earn a Certificate upon completion
  • Skills -Generator,Image-to-Image Translation,glossary of computer graphics,Discriminator,Generative Adversarial Networks,Controllable Generation,WGANs,Conditional Generation,Components of GANs,DCGANs,Bias in GANs,StyleGANs
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Generative Adversarial Networks (GANs) Specialization
 at 
Coursera 
Course details

More about this course
  • About GANs
  • Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs
  • About this Specialization
  • The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach
  • It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more
  • Build a comprehensive knowledge base and gain hands-on experience in GANs
  • Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs

Generative Adversarial Networks (GANs) Specialization
 at 
Coursera 
Curriculum

Build Basic Generative Adversarial Networks (GANs)

Build Better Generative Adversarial Networks (GANs)

Apply Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs) Specialization
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Generative Adversarial Networks (GANs) Specialization
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    Students Ratings & Reviews

    5/5
    Verified Icon1 Rating
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    Ganesh Prasath
    Generative Adversarial Networks (GANs) Specialization
    Offered by Coursera
    5
    Learning Experience: Implementation in pytorch, GAN methodologies
    Faculty: Faculty pace was a bit fast, however every aspect was explained properly Course was hands on, comprehensive and was explained in detail
    Course Support: Career support was helpful
    Reviewed on 3 Apr 2022Read More
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    Generative Adversarial Networks (GANs) Specialization
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