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Generative Adversarial Networks (GANs)
Master the fundamentals and advanced techniques of GANs for generating realistic images and solving complex machine learning challenges.
Course Cost
₹ 5,199
Intermediate
Skill Level
82 Hours
Self-paced lessons
This specialization from DeepLearning.AI provides comprehensive training in Generative Adversarial Networks (GANs). Students learn to build and evaluate GANs using PyTorch, from basic architectures to advanced techniques like StyleGAN. The program covers practical applications including image generation, data augmentation, and privacy preservation, while addressing important considerations like bias detection.
4.7
45,279 Enrolled
English
Powered by
4.7
45,279 Enrolled
English
What you'll learn
Build and train basic GANs using PyTorch
Implement advanced architectures like DCGAN
Evaluate GAN performance using FID
Detect and address bias in GANs
Apply GANs for image translation
Implement privacy preservation techniques
Create conditional GANs
Develop StyleGAN applications
Skills you'll gain
This course includes:
82 Hours PreRecorded video
Hands-on GAN implementation projects
Access on Mobile
Batch access
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 3 courses in this program
Build Basic Generative Adversarial Networks (GANs)
Course 1 · 28 Hours to complete · 4 modules
Build Better Generative Adversarial Networks (GANs)
Course 2 · 27 Hours to complete · 3 modules
Apply Generative Adversarial Networks (GANs)
Course 3 · 24 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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