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शुरू होता है 4 June 2026 07:54

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Computer Vision and Generative AI

Discover how computers process images and harness generative AI models like GANs, Vision Transformers, and diffusion models to create and edit images through hands-on projects.
via Udacity

139 कोर्स


11 hours

वैकल्पिक अपग्रेड उपलब्ध है

Not Specified

अपनी गति से आगे बढ़ें

Paid Course

वैकल्पिक अपग्रेड उपलब्ध है

अवलोकन

Learn how computers process and understand image data, then harness the power of the latest Generative AI models to create new images.

पाठ्यक्रम

  • Introduction to Image Generation
  • In this lesson, you will define image generation and understand its relevance in AI and machine learning.
  • Computer Vision Fundamentals
  • Learn how computers see images and perform key image processing techniques using classic image processing techniques such as image transformation, noise reduction, and more.
  • Image Generation and GANs
  • Explore the landscape of Gen AI tools for Computer Vision and learn how they are evaluated. Learn what a generative adversarial network is and how it is utilized to generate images.
  • Transformer-Based Computer Vision Models
  • In this lesson, we will be exploring Vision Transformers and the architecture that makes them work. Along the way we will explore Vision Transformers like DALL-E, DINO, and SAM.
  • Diffusion Models
  • Learn the fundamentals of transformers. Then, get hands-on with the creation of a diffusion algorithm and work with Huggingface Diffusers to generate and work with images.
  • Project: AI Photo Editing with Inpainting
  • In this project, you will utilize Generative AI to take a famous painting and swap out the background with an image generated by Stable Diffusion.

द्वारा पढ़ाया गया

Giacomo Vianello, Chuyi Shang, Annabel Ng, Derek Xu and Nathaniel Haynam


विषय

Computer Science