Generative Model Architectures

Generative Model Architectures are advanced artificial intelligence frameworks that enable the creation of new content across various modalities. Coursera's Generative Model Architectures catalogue teaches you the fundamental principles and techniques behind these powerful AI systems, including generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based models. You'll learn to design, implement, and optimize generative models for tasks such as image synthesis, text generation, and audio creation, as well as understand the ethical considerations and potential applications of these technologies. Mastering Generative Model Architectures will empower you to develop cutting-edge AI solutions that can revolutionize industries like healthcare, entertainment, and product design, opening up exciting career opportunities in the rapidly evolving field of artificial intelligence.
25credentials
99courses

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "generative model architectures"

What brings you to Coursera today?

Leading partners

  • Google Cloud
  • DeepLearning.AI
  • Pearson
  • Packt
  • Fractal Analytics
  • IBM
  • Simplilearn
  • Edureka