What we’re about
Welcome to the Cupertino AI Technology Meetup Group! This is a community for tech enthusiasts, software developers, data scientists, and AI professionals interested in exploring the latest trends in artificial intelligence and machine learning. Whether you're a beginner or an expert in the field, join us for informative discussions, hands-on workshops, and networking opportunities with like-minded individuals. Let's stay ahead of the curve and share our knowledge and passion for AI technology in this rapidly evolving industry. Come be a part of our exciting AI-focused events and unleash the potential of intelligent machines together!
Upcoming events (4+)
See all- Network event14 attendees from 16 groups hostingApril 15 - Interpretability in Computer Vision: CAM & Grad-CAM WorkshopLink visible for attendees
When and Where
- April 15, 2025
- 6:30 PM to 8:30 PM CET | 9:30 AM to 11:30 AM Pacific
- Workshops are delivered over Zoom
About the Workshop
Join us for a 12-part, hands-on series that teaches you how to work with images, build and train models, and explore tasks like image classification, segmentation, object detection, and image generation. Each session combines straightforward explanations with practical coding in PyTorch and FiftyOne, allowing you to learn core skills in computer vision and apply them to real-world tasks.
In this session, we’ll learn interpretability techniques such as Class Activation Mapping and Grad-CAM. Build a model to analyze predictions and visualize important image regions with FiftyOne.
These are hands-on maker workshops that make use of GitHub Codespaces, Kaggle notebooks, and Google Colab environments, so no local installation is required (though you are welcome to work locally if preferred!)
Workshop Resources
You can find the workshop materials in this GitHub repository.
About the Instructor
Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Since 2019, he has organized the Berlin Computer Vision Group and taught at Berlin’s Data Science Retreat. He specializes in computer vision, cloud technologies, and machine learning. Antonio is also a certified instructor of deep learning and diffusion models in NVIDIA’s Deep Learning Institute.
- Network event5 attendees from 16 groups hostingApril 16 - Getting Started with FiftyOne WorkshopLink visible for attendees
When and Where
April 16, 2025 | 9:00 – 10:30 AM Pacific
About the Workshop
Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop you’ll be able to:
- Visualize complex datasets
- Explore embeddings
- Analyze and improve models
- Perform advanced data curation
- Integrations
This workshop will explore the importance of taking a data-centric approach to computer vision workflows. We will start with importing and exploring visual data, then move to querying and filtering. Next, we’ll look at ways to extend FiftyOne’s functionality and simplify tasks using plugins and native integrations. We’ll generate candidate ground truth labels, and then wrap things up by evaluating the results of fine tuning a foundational model.
Along the way, we will show you the power of combining the FiftyOne SDK with visualizations in the FiftyOne App. At the conclusion of the workshop we will walk through an advanced demo based on a 3D view reconstruction workflow.
Prerequisites: working knowledge of Python and basic computer vision concepts.
All attendees will get access to the tutorials, videos, and code examples used in the workshop
- Network event7 attendees from 16 groups hostingApril 22 - Convolutional Neural Networks WorkshopLink visible for attendees
When and Where
- April 22, 2025
- 6:30 PM to 8:30 PM CET | 9:30 AM to 11:30 AM Pacific
- Workshops are delivered over Zoom
About the Workshop
Join us for a 12-part, hands-on series that teaches you how to work with images, build and train models, and explore tasks like image classification, segmentation, object detection, and image generation. Each session combines straightforward explanations with practical coding in PyTorch and FiftyOne, allowing you to learn core skills in computer vision and apply them to real-world tasks.
In this session, we’ll delve deeper into CNN architectures by focusing on upsampling, channel mixing, and semantic segmentation techniques. Build a U-Net model for semantic image segmentation and inspect its predictions with FiftyOne.
These are hands-on maker workshops that make use of GitHub Codespaces, Kaggle notebooks, and Google Colab environments, so no local installation is required (though you are welcome to work locally if preferred!)
Workshop Resources
You can find the workshop materials in this GitHub repository.
About the Instructor
Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Since 2019, he has organized the Berlin Computer Vision Group and taught at Berlin’s Data Science Retreat. He specializes in computer vision, cloud technologies, and machine learning. Antonio is also a certified instructor of deep learning and diffusion models in NVIDIA’s Deep Learning Institute.
- Network event6 attendees from 16 groups hostingApril 23 - Advanced Computer Vision Data Curation and Model Evaluation WorkshopLink visible for attendees
When and Where
April 23, 2025 | 9:00 – 10:30 AM Pacific
About the Workshop
Are you looking for simpler and more accurate ways to perform common data curation and model evaluation tasks for your computer vision workflows?
Then this workshop with Harpreet Sahota is for you! In this 90 min hands-on workshop, we’ll show you how to make use of FiftyOne’s panel and plugin framework to learn how to:
- Customize the FiftyOne App to work the way you want to work
- Quickly integrate FiftyOne with new models, datasets, and MLOps tools
- Automate common data curation and model evaluation tasks
- Streamline your computer vision workflows with less code and more clicks
Whether you are a beginner or advanced user of FiftyOne, looking for how to get started with customizing the dozens of existing plugins or interested in creating your own, there will be something for you in this workshop!
Prerequisites
A working knowledge of Python and basic familiarity with FiftyOne. All attendees will get access to the tutorials, videos, and code examples used in the workshop.
Past events (27)
See all- Network event29 attendees from 16 groups hostingApril 8 - Multi-label Classification with Binary Cross Entropy WorkshopThis event has passed