Literacy Essentials: Core Concepts Generative Adversarial Network
Jerry Kurata
32:49
Description
This course will teach you the theory and code behind General Adversarial Networks (GANs). GANs are self-evaluating and self-improving networks that can create the stunning results you see in generated photos, videos, and sounds.
What You'll Learn?
General Adversarial Networks, or GANs, are powerful neural networks that you have likely already seen in action. In this course, Literacy Essentials: Core Concepts Generative Adversarial Networks, you’ll learn the main idea behind GANs. First, you’ll explore the basics of generator and discriminator networks. Next, you'll discover how to incorporate these networks to create a GAN. Finally, you’ll learn how to apply GANs to solve real-world issues such as image captioning, and complex classification problems. When you’re finished with this course, you’ll have the skills and knowledge of GANs needed to understand how they can be a great addition to your Machine Learning solutions library.
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Jerry Kurata
Instructor's Courses
Pluralsight
View courses Pluralsight- language english
- Training sessions 14
- duration 32:49
- level preliminary
- Release Date 2023/12/15