This course has been archived and is no longer supported. For our latest courses on Python, consider trying our evergreen curriculums with a 1-Year Unlimited Access Package.
Generative Adversarial Networks (GANs) are a type of artificial intelligence algorithm which has two different Neural Networks compete against each to gain knowledge. Introduced in 2014 by Ian Goodfellow, this technique can be successfully used to generate realistic photographs of objects, nature and even human faces. Other applications include removing noise from astrophysical images, generating new fake data for other neural networks, or even enhancing photos. You know how in movies, the FBI always does that cool zoom on a photo of a suspect? GANs can be used to actually do that!
This course begins with the basics and intuition of GANs, introducing the the two types of Models – Discriminative and Generative – and their specific tasks in the algorithm. Continuing through this course, you’ll learn the difference between regular GANs, DCGANs (Deep Convolutional GANs) and AC-GANs (Auxiliary Classifer GANs), and how to implement them using Python.
What you’ll learn:
- Classifying the data as real or artificially generated through a Discriminator
- Fooling the Discriminator into believing generated data is real via a Generator
- Analyzing the problem using Game Theory
- Training a GAN – including an intuition of the algorithm and the math behind it
- Tips and tricks – normalizing data, optimization, label smoothing and more
- Challenges of training GANs – mode colapse, counting, perspective and Global Structure
YOUR COURSES, YOUR WAY
Learn with project-based courses that are designed to be flexible – access them 24/7, fit them around your schedule, and choose the learning materials that suit you best.
With an online platform optimized for all modern devices, you can even learn on the go!
✅ Watch video lessons
✅ Read text summaries
✅ Explore interactive lessons
✅ Practice with source code
✅ Build real projects
✅ Earn completion certificates
ACHIEVE REAL RESULTS
Our community of 1,000,000+ learners and developers have used the skills learned with us to publish their own games and websites, land their dream jobs, and even start their own businesses – and you have the potential to do the same!
Check out what our learners think below:
⭐⭐⭐⭐⭐
MIHIR PATEL
I love the lectures, concise course objectives, and how they not only teach you enough to get started, but prepare you for the advanced stuff later down the road.
⭐⭐⭐⭐⭐
MONICA MANCUSI
With Zenva, I started learning a more accurate way to approach problems and develop solutions. It’s full of interesting topics that I love to learn in conjunction with my work.
⭐⭐⭐⭐⭐
CRAIG BICKFORD
I chose Zenva because of the large selection of topics and the fact that I can choose what courses I want to take whenever I want to take them. That level of freedom is unique to Zenva.
⭐⭐⭐⭐⭐
ANDREA CARDENAS-ROEDER
The Unity courses at Zenva helped me achieve a level of comfort with game development that I didn’t think was possible. They give you the confidence to expand your skills, and were so easy to understand.
