Generative Adversarial Networks (GANs)
Master the fundamentals and advanced techniques of GANs for generating realistic images and solving complex machine learning challenges.
Master the fundamentals and advanced techniques of GANs for generating realistic images and solving complex machine learning challenges.
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.
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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
Skills you'll gain
This course includes:
80 Hours PreRecorded video
Hands-on GAN implementation projects
Access on Mobile
Batch access
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There are 3 courses in this program
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Course 1 · 3 Weeks to complete · 3 modules
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Course 2 · 25 Hours to complete · 3 modules
Strategies for Heavy Lifting
Course 3 · 30 Hours to complete · 3 modules
Fee Structure
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Financial Aid
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