![Introduction to Generative Adversarial Networks (GANs) [Released: 8/19/2025]](https://pixhost.icu/avaxhome/5c/5c9b/5c9bbca0069c443cbbd96e5969bb60f1-213460249373918952_medium.webp)
Introduction to Generative Adversarial Networks (GANs) [Released: 8/19/2025]
![Introduction to Generative Adversarial Networks (GANs) [Released: 8/19/2025]](https://pixhost.icu/avaxhome/5c/5c9b/5c9bbca0069c443cbbd96e5969bb60f1-213460249373918952.webp)
Introduction to Generative Adversarial Networks (GANs) [Released: 8/19/2025]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 43m | 87.3 MB
Instructor: Gwendolyn Stripling
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 43m | 87.3 MB
Instructor: Gwendolyn Stripling
Generative Adversarial Networks (GANs) are a groundbreaking innovation in deep learning, capable of generating realistic images, audio, and synthetic data.
In this hands-on course, Gwendolyn Stripling—a machine learning and artificial intelligence and PhD—provides a solid foundation in the architecture and training of GANs. Learn how GANs work and get proactive practice, applying GANs to tasks such as synthetic data and image generation. This course will help you confidently step into the world of generative modeling and discover how these architectures are applied to real-world tasks.
Learning objectives
- Explain the use cases, architecture, and function of GANs
- Implement and train basic GANs using Python and Tensorflow/Pytorch libraries.
- Apply GANs to real-world tasks, such as synthetic data and image generation.
![Introduction to Generative Adversarial Networks (GANs) [Released: 8/19/2025]](https://pixhost.icu/avaxhome/5c/5c9b/5c9bbca0069c443cbbd96e5969bb60f1-1825020330839395051_medium.webp)
Introduction to Generative Adversarial Networks (GANs) [Released: 8/19/2025]
![Introduction to Generative Adversarial Networks (GANs) [Released: 8/19/2025]](https://pixhost.icu/avaxhome/5c/5c9b/5c9bbca0069c443cbbd96e5969bb60f1-1825020330839395051.webp)