GDSC X MacAI - Exploring Applications of Convolutional Neural Networks (CNNs)

Engineering Technology Building ETB, 1280 Main Street West, Hamilton, L8S 4L8

GDG on Campus McMaster University - Hamilton, Canada

Curious about how Convolutional Neural Networks (CNNs) are used in AI? Join us for an introduction to CNNs, where we’ll cover key concepts, explore real-world applications, and dive into a hands-on coding demo in Google Colab! The session will be held on Tuesday March 4th from 6:30PM to 7:30PM. It will be Hybrid, in ETB 224.

Mar 4, 11:30 PM – Mar 5, 12:30 AM (UTC)

15 RSVP'd

Key Themes

AIMachine Learning

About this event

Join us for an exciting session on Convolutional Neural Networks (CNNs) and their real-world applications! We’ll start with a brief introduction of Supervised and Unsupervised Learning, followed by an in-depth look at how CNNs work. Then, we’ll explore various applications where CNNs are making an impact, from image analysis to pattern recognition and beyond.

The session will wrap up with a hands-on coding demo using Google Colab, where you’ll get to apply what you've learned. Whether you're a beginner or have some experience with deep learning, this event will help you understand how CNNs power modern AI applications!

It will be a Hybrid event, with zoom link here: https://mcmaster.zoom.us/j/92738180330


📅 Date: March 4th, 2025

⏰ Time: 6:30PM to 7:30PM

📍 Location: ETB 224 Hybrid!

Hope to see you there! 🚀

When

When

March 4 – 5, 2025
11:30 PM – 12:30 AM (UTC)

Organizers

  • Zareen Kabir

    GDSC McMasterU

    Organizer

  • Avani Sharma

    Vice President

  • Colin Chambachan

    Vice President

  • Bhravi Prajapati

    GDSC McMasterU

    Conferences Co-Lead

  • Leon Yao

    GDSC McMasterU

    Conferences Co-Lead

  • Varunan Varathan

    Conferences Co-Lead

  • Harmanpreet Singh Sagar

    GDG McMasterU

    Community Co-Lead

  • Hussain Muhammed

    GDSC McMaster U

    Community Co-Lead

  • Samridhi Anand

    GDSC McMasterU

    Community Co-Lead

  • Ryan Zhang

    Open Source Co-Lead

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