Summary
Join us to gain practical insights into the advanced techniques of image recognition with Vision Transformer (ViT). Learn how to implement ViT, understand its unique architecture, and explore its use for tasks such as image classification, object detection, and segmentation. Ideal for researchers, data scientists, and AI enthusiasts who want to improve their skills in image analysis and computer vision.
Requirements
Join the AI Maker Community Slack Workspace: The communication during the session will happen through our Slack Workspace, in the #ai-maker-sessions channel: https://join.aimaker.community
Participants will need to have a Kaggle account, as this will be a practical exploration using Kaggle Notebooks. Make sure to verify your account, so that you can access the GPUs on the platform.
Please register for this free event on Eventbrite.
Event Details
This is an online event. We will post a link to the session in Slack shortly before the session starts.
See also
- PipeSwitch –Fast Pipelined Context Switching for Deep Learning Applications
- nvshare – Practical GPU Sharing without Memory Size Constraints
- LLaVA: Large Language and Vision Assistant - Part 1
- Vision Transformers - Part 2
- Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction