πŸš€πŸ€– Get Started with Machine Learning: Teachable Machine & Tensorflow

Waterloo Campus WA-WMB-4G05, 108 University St. East, Waterloo, N2J 2W2

πŸ€–πŸ’» Get started with machine learning! Join our beginner-friendly Teachable Machine Workshop and learn how to create custom models for image recognition, sound classification, and gesture detection with Google's free online tool. No coding required! πŸŽ‰πŸš€ By the end of the session, you'll have the skills to train your own models and export them for use in your projects.

Mar 13, 2023, 11:00 PM – Mar 14, 2023, 12:30 AM

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Key Themes

Explore MLMachine LearningOpen SourceSolution ChallengeTensorFlow / KerasWeb

About this event

πŸ‘‹ Ready to dive into the exciting world of machine learning? Join us for our beginner-friendly Teachable Machine Workshop! πŸ€–πŸ’»

No coding experience? No problem! In this hands-on workshop, we'll guide you through the basics of machine learning and show you how to create your own custom models using Google's free online tool. 🌟

Whether you're interested in image recognition, sound classification, or gesture detection, we've got you covered. All you need is a computer with a camera or microphone and an internet connection. πŸ–₯️🎀

We'll start by explaining the principles of machine learning, then we'll show you how to use Teachable Machine to train your own model from scratch. 🧠πŸ’ͺ

By the end of the workshop, you'll have the skills to create and export your own custom model, without any coding required. πŸš€

Join us for this fun and interactive workshop and learn how you can use machine learning to bring your ideas to life! πŸŒŸπŸ€–πŸ’»

When

When

March 13 – 14, 2023
11:00 PM – 12:30 AM UTC

Organizers

  • MaΓ­sa Wolff Resplande

    GDSC Lead

  • Gavin Abeele

    Vice Lead

  • Oleksandr Levinskyi

    Mentor

  • Emil Harvey

    Executive Lead

  • Cyril Kamal

    Executive Lead

  • Sanjay Sekar Samuel

    Executive Lead

  • Oscar Pinzon

    Executive Lead

  • Jun Cai

    Executive Lead

  • Ryan Dooley

    Executive Lead

  • Anish Reddy

    Executive Lead

  • Owen Garland

    Executive Lead

  • Michelle Gordon

    Executive Lead

  • Aniedi Udo-Obong

    Regional Leader

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