Exploring Generative AI Models and Architecture
Exploring Generative AI Models and Architecture
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 48m | 137 MB
Instructor: Naveed Tauhid
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 48m | 137 MB
Instructor: Naveed Tauhid
Explore generative AI models and architecture and apply key architectures like VAEs, Transformers, and GANs to real-world problems.
What you'll learn
Are you fascinated by how AI can create new content, from images to text? Do you want to harness this power and apply it to real-world problems?
In this course, Exploring Generative AI Models and Architecture, you’ll gain the ability to understand, design, and implement generative models.
First, you’ll explore the architecture of Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs), and learn how they generate new data from existing examples.
Next, you’ll discover Transformers and their applications in language translation, text summarization, and chatbots.
Finally, you’ll learn about the architecture of combination models, and how to use them in image captioning, etc. By the end of this course, you'll have gained a greater understanding of generative AI models and architecture.
Exploring Generative AI Models and Architecture
