intermediateCertificate$49/mo
Generative Adversarial Networks (GANs) Specialization
by Sharon Zhou · Coursera
4.6(6,800 reviews)
100K+ enrolled3 monthsUpdated 2024-05
What You'll Learn
Understand the fundamentals and key concepts of GANs
Apply GANs techniques to solve real-world problems
Understand the fundamentals and key concepts of generative models
Apply generative models techniques to solve real-world problems
Understand the fundamentals and key concepts of image generation
Apply image generation techniques to solve real-world problems
About This Course
Three-course specialization covering GAN fundamentals, controlled image generation, and applying GANs to data augmentation.
Curriculum
Module 1: GANs & Generative models6 lessons
- Introduction to GANs
- GANs in Practice
- Hands-on Exercise: GANs
- Introduction to generative models
- Generative models in Practice
- Hands-on Exercise: Generative models
Module 2: Image generation & Deep learning6 lessons
- Introduction to image generation
- Image generation in Practice
- Hands-on Exercise: Image generation
- Introduction to deep learning
- Deep learning in Practice
- Hands-on Exercise: Deep learning
Module 3: Neural networks3 lessons
- Introduction to neural networks
- Neural networks in Practice
- Hands-on Exercise: Neural networks
Instructor
Sharon Zhou
Instructor at Coursera
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Sharon Zhou
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$49/mo
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