Generative Al Computer Vision Specialization | Level 2
Enhance your Generative AI Computer Vision skills to solve real world problems using Generative Al.
December 14 @ 9:00 am – 5:00 pm UTC+5:30
About the event
Join us for a transformative experience at our upcoming public event! Be at the forefront of Generative AI innovation with our specialized course, designed for seasoned professionals hungry to revolutionize multimedia content generation.
Unlock the potential of advanced Generative AI Computer Vision concepts and their direct application in modern image synthesis. Immerse yourself in cutting-edge technology as we explore state-of-the-art Generative Models, including autoencoders, the groundbreaking tools like MidJourney, the revolutionary DALL-E -2 model from OpenAI, and the game-changing Diffusers.
Whether you’re a Computer Vision engineer aiming to implement Generative AI Computer Vision models, a developer seeking to expand your skill set, or an AI enthusiast eager to create intelligent solutions, this event is tailored to you. Enhance your expertise through an in-depth exploration of Generative AI’s pivotal role, equipping yourself to shape the future of real-world image synthesis.
By attending, you’ll gain:
- Profound insights into advanced Generative AI concepts.
- Practical knowledge for implementing Generative AI models in various industries.
- Expertise in utilizing cutting-edge tools and models like MidJourney, OpenAI’s DALL-E 2, and more.
- Networking opportunities with fellow professionals and enthusiasts.
Don’t miss this chance to amplify your skills and drive innovation with Generative AI. Participants should have completed the Generative AI Specialization Computer Vision | Level 1 course or possess equivalent knowledge. Join us and be at the forefront of the Generative AI revolution!
- Recap of GenerativeAI & its applications in Image generation
- Review the basics of Generative Models – autoregressive models, variational autoencoders, and generative adversarial networks (GANs)
- Deepdive into Generative AI
- Multimodal Models
- Generative Models
- Generative Video
- Generative Audio
- Conditional Image Generation based on class labels or text description
- Understanding OpenAI’s DALL-E Image Generation Process
- Overview of the Vision Transformer (ViT)
- How ViT outperform current SOTA CNNs
- Scaling Up
- High-Performing Large-Scale Image Recognition
- Visualizations
- Building Diffusion Models from Scratch
- Starting with Noise and Progressing to Final Images
- Developing Intuition at Each Step
- MidJourney: Demonstration App
- Lab(s): DALL-E 2
- Concluding Thoughts on Generative Models
- DreamBooth motivation- Presentation
- DreamBooth: Demonstration App
- Fine-tune text-to-image Stable Diffusion model