Build Basic Generative Adversarial Networks (GANs)

This DeepLearning course is at the intermediate level. The principles of Generative Adversarial Networks (GANs) are introduced by AI. Students learn how generators and discriminators function, construct their first GAN with PyTorch, create Deep Convolutional GANs (DCGANs), comprehend methods for enhancing GAN training, and make conditional GANs that can produce images from particular categories. The course is a component of the GANs specialization and involves practical programming tasks.

Provider/Creator: DeepLearning.AI
Platform: Coursera
Category: GANs
Level: Intermediate
Duration: 28 Hours
Certificate: Paid/Financial Aid
Rating: ⭐ 4.7
Direct Course Link: Build Basic Generative Adversarial Networks (GANs)
Recommended For: ML engineers, AI students